Jobs
Part Time / Full Time
Country
Company
In-Person / Remote
Monday, 17 November 2025 4pm-4pm Hall 6
2026 Luis W Alvarez and Grace M Hopper Postdoctoral Fellowships
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
Description2026 Luis W Alvarez and Grace M Hopper Postdoctoral Fellowships - 104992
Division: AC-Computing
Luis W. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences
The Computing Sciences Area (hyperlink to https://cs.lbl.gov/) at Lawrence Berkeley National Laboratory (hyperlink to https://www.lbl.gov/) is now accepting applications for two distinguished postdoctoral fellowships in Computing Sciences:
Researchers in computer science, mathematics, data science, or any computational science discipline who have received their Ph.D. and have completed no more than three years of postdoctoral work are encouraged to apply. Only one (1) application is needed, and it will be considered for both postdoctoral fellowships.
The successful candidates will participate in research activities in computer science, mathematics, data science, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Alvarez Fellows apply advances in computer science, mathematics, computational science, data science, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab.
Since its founding in 2002, Berkeley Lab’s Luis W. Alvarez Postdoctoral Fellowship (go.lbl.gov/alvarez) has cultivated exceptional early career scientists who have gone on to make outstanding contributions to computer science, mathematics, data science, and computational sciences. The Admiral Grace Hopper Postdoctoral Fellowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of enabling early career scientists to make outstanding contributions in computer science and high-performance computing (HPC) research.
About Computing Sciences at Berkeley Lab:
Whether running extreme-scale simulations on a supercomputer or applying machine-learning or data analysis to massive datasets, scientists today rely on advances in and integration across applied mathematics, computer science, and computational science, as well as large-scale computing and networking facilities, to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab's Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of applied mathematics, computer science, data science, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as astrophysics and cosmology, accelerator physics, chemical science and materials science, combustion, fusion energy, nuclear physics, biology, climate change, and HPC systems and network technology. Research areas in Computing Sciences include but are not limited to:
Qualifications:
Additional Desired Qualifications:
Application Process:
* It is highly advisable that you have all the required application materials and information ready and available prior to completing and submitting your application. Your application will not be considered complete if any of the above information is missing.
Tentative Application Timeline:
The Computing Sciences Fellowship Selection Committee is made up of a diverse representation of scientists and engineers across Berkeley Lab’s Computing Sciences Area who will conduct a thorough review of all applications received.
Notes:
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=307909 and follow the on-line instructions to complete the application process.
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
Division: AC-Computing
Luis W. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences
The Computing Sciences Area (hyperlink to https://cs.lbl.gov/) at Lawrence Berkeley National Laboratory (hyperlink to https://www.lbl.gov/) is now accepting applications for two distinguished postdoctoral fellowships in Computing Sciences:
- Luis W. Alvarez Postdoctoral Fellowship, and
- Admiral Grace M. Hopper Postdoctoral Fellowship
Researchers in computer science, mathematics, data science, or any computational science discipline who have received their Ph.D. and have completed no more than three years of postdoctoral work are encouraged to apply. Only one (1) application is needed, and it will be considered for both postdoctoral fellowships.
The successful candidates will participate in research activities in computer science, mathematics, data science, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Alvarez Fellows apply advances in computer science, mathematics, computational science, data science, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab.
Since its founding in 2002, Berkeley Lab’s Luis W. Alvarez Postdoctoral Fellowship (go.lbl.gov/alvarez) has cultivated exceptional early career scientists who have gone on to make outstanding contributions to computer science, mathematics, data science, and computational sciences. The Admiral Grace Hopper Postdoctoral Fellowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of enabling early career scientists to make outstanding contributions in computer science and high-performance computing (HPC) research.
About Computing Sciences at Berkeley Lab:
Whether running extreme-scale simulations on a supercomputer or applying machine-learning or data analysis to massive datasets, scientists today rely on advances in and integration across applied mathematics, computer science, and computational science, as well as large-scale computing and networking facilities, to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab's Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of applied mathematics, computer science, data science, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as astrophysics and cosmology, accelerator physics, chemical science and materials science, combustion, fusion energy, nuclear physics, biology, climate change, and HPC systems and network technology. Research areas in Computing Sciences include but are not limited to:
- Developing scientific applications and software technologies for extreme-scale and energy-efficient computing
- Developing mathematical modeling for complex scientific problems
- Designing algorithms to improve the performance of scientific applications
- Researching digital and post-digital computer architectures for science
- Developing and advancing extreme-scale scientific data management, analysis, and visualization
- Developing and advancing next-generation machine learning, AI, and data science approaches for science
- Advancing quantum computing and networking technologies, software, algorithms and applications
- Evaluating or developing new and promising HPC systems and networking technologies
- Researching methods to control and manage next-generation network
- Managing scientific data and workflows in distributed environments
Qualifications:
- Requires a Ph.D. in computer science, mathematics, computational science, or related discipline.
Candidates must have no more than 3 years of Postdoctoral Researcher or similar experience. - Expertise with advanced algorithms, software techniques, HPC systems and/or networking in a related research field.
- Demonstrated creativity and the ability to perform independent research.
- Demonstrated excellence in a related research fiel
- Ability to develop new cross-disciplinary partnerships that use advanced computational and/or mathematical techniques to produce unique lab capabilities.
- Excellent communication skills with the ability to facilitate communications and collaborations with internal and external stakeholders.
Additional Desired Qualifications:
- Knowledge of advanced computing and high-performance computing.
Application Process:
- As part of your application process, you must upload and submit the following materials with your online application.
- Cover letter
- CV, with publication list included
- Research Statement (no more than five (5) pages in length when printed using standard letter-size (8.5 inch x 11 inch) paper with 1-inch margins (top, bottom, left, and right) and a font size not smaller than 11 point; figures and references cited, if included, must fit within the five-page limit)
- Contact information (name, affiliation, and email address) of at least three (3) individuals who will be able to provide letters of reference.
- Application deadline: October 24, 2025.
* It is highly advisable that you have all the required application materials and information ready and available prior to completing and submitting your application. Your application will not be considered complete if any of the above information is missing.
Tentative Application Timeline:
The Computing Sciences Fellowship Selection Committee is made up of a diverse representation of scientists and engineers across Berkeley Lab’s Computing Sciences Area who will conduct a thorough review of all applications received.
- Application deadline: October 24, 2025
- Review and Selection: October 2025 - January 2026
- Decisions made: January/February 2026
Notes:
- The selected candidates will be offered either the Luis W. Alvarez Postdoctoral Fellowship or the Admiral Grace M. Hopper Postdoctoral Fellowship based on their research focus.
- This position is expected to pay between $137,916 to $142,053 annually. Actual salary will depend on the candidate's overall experience and expertise, including prior experience in Postdoc roles.
- This position is represented by a union for collective bargaining purposes.
- This position may be subject to a background check. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position.
- By applying to this role, your candidacy may be considered for other relevant positions within Computing Sciences. If you see a separate opening that matches your interests and qualifications, however, you are encouraged to apply.
- Work may be performed on-site, or hybrid. Work must be performed within the United States. Starting May 7, a REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=307909 and follow the on-line instructions to complete the application process.
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
·
·
2025-09-04
Event Type
Job Posting
TimeMonday, 17 November 20254:00pm - 4:00pm CST
LocationHall 6
United States of America
Lawrence Berkeley National Laboratory
In-person
Full Time
TDA+ML Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionTDA+ML Postdoctoral Scholar - 104845
Division: AM-Applied Mathematics and Computational Research
A recently funded collaborative project between the ESnet division of Lawrence Berkeley National Laboratory (LBNL) and QuEra Computing is seeking a highly motivated Postdoctoral Researcher to explore a novel optical interconnect approach for distributed quantum computing with neutral atoms. This research aims to integrate atomic ensemble qubits into optical tweezer arrays of single atoms, enabling quantum networking between state-of-the-art quantum processors and paving the way for scalable quantum computers.
This project will involve theoretical and numerical analysis of Rydberg mediated interactions of a single atom with a micro-ensemble of atoms that can be used to collectively emit and store single photons for high-rate, high fidelity remote entanglement without the need of optical resonators. As a Postdoc on this project, you will play a central role in advancing this cutting-edge research and collaborate closely with researchers and engineers from both the ESnet and QuEra teams. Your work will directly influence the experimental and engineering directions needed to realize large-scale, fault-tolerant quantum computers.
Titled “Scalable Neutral-Atom Quantum Computing via Local-Area Quantum Communications Enabled by Atomic Ensemble Qubits,” this two-year DOE-funded initiative brings together leading experts from ESnet—developers of one of the largest quantum networking testbeds—and QuEra, a pioneering quantum computing startup. This government–industry collaboration offers a unique opportunity to help shape the future of data center–scale quantum computing by leveraging QuEra’s state-of-the-art technologies and the dynamic research environments of LBNL and the University of California, Berkeley.
What You Will Do:
Additional Responsibilities as needed:
What is Required:
Desired Qualifications:
Notes:
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=309013 and follow the on-line instructions to complete the application process.
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
Division: AM-Applied Mathematics and Computational Research
A recently funded collaborative project between the ESnet division of Lawrence Berkeley National Laboratory (LBNL) and QuEra Computing is seeking a highly motivated Postdoctoral Researcher to explore a novel optical interconnect approach for distributed quantum computing with neutral atoms. This research aims to integrate atomic ensemble qubits into optical tweezer arrays of single atoms, enabling quantum networking between state-of-the-art quantum processors and paving the way for scalable quantum computers.
This project will involve theoretical and numerical analysis of Rydberg mediated interactions of a single atom with a micro-ensemble of atoms that can be used to collectively emit and store single photons for high-rate, high fidelity remote entanglement without the need of optical resonators. As a Postdoc on this project, you will play a central role in advancing this cutting-edge research and collaborate closely with researchers and engineers from both the ESnet and QuEra teams. Your work will directly influence the experimental and engineering directions needed to realize large-scale, fault-tolerant quantum computers.
Titled “Scalable Neutral-Atom Quantum Computing via Local-Area Quantum Communications Enabled by Atomic Ensemble Qubits,” this two-year DOE-funded initiative brings together leading experts from ESnet—developers of one of the largest quantum networking testbeds—and QuEra, a pioneering quantum computing startup. This government–industry collaboration offers a unique opportunity to help shape the future of data center–scale quantum computing by leveraging QuEra’s state-of-the-art technologies and the dynamic research environments of LBNL and the University of California, Berkeley.
What You Will Do:
- Develop theoretical frameworks for quantum light-matter interactions in the context of distributed quantum computing.
- Model and analyze Rydberg-mediated interactions for both single-atom and ensemble qubits.
- Analyze optical trapping and transport dynamics of single atoms and ensembles.
- Evaluate and benchmark atomic ensemble qubits as optical quantum memories and deterministic single-photon sources for high-rate, high-fidelity remote entanglement between quantum processors.
- Investigate the integration of ensemble qubits into multi-zone processor architectures to enable scalable, fault-tolerant quantum computing.
- Collaborate closely with experimentalists and engineers to guide the development and implementation of networked quantum processors.
Additional Responsibilities as needed:
- Assist in project coordination and contribute to the preparation of project deliverables.
- Disseminate research findings through publications in high-impact journals and presentations at national and international conferences.
- Travel occasionally for collaboration and/or research dissemination.
What is Required:
- Ph.D. and/or previous Postdoc studies in at least one of the following areas: quantum optics, quantum networking, quantum computing.
- Strong theoretical background in the trapping and coherent manipulation of neutral atoms for quantum information processing and quantum communication.
- Extensive experience in theoretical and numerical studies of quantum light-matter interfaces and Rydberg interactions with applications to single-atom and atomic-ensemble neutral-atom platforms.
- Proven expertise in the physical modelling and performance analysis of key components of the neutral-atom systems, including (but not limited) to spin-wave quantum memories, single-photon sources, Rydberg-based quantum gates.
- Solid understanding of fault-tolerance aspect in quantum information processing and its implications for scalable architectures.
Desired Qualifications:
- Familiarity with experimental implementations, including relevant hardware, tools, and control systems.
- Demonstrated ability to work effectively in a collaborative, interdisciplinary teams composed of scientists, engineers, and students from diverse backgrounds.
- Strong written and oral communication skills, with experience presenting research findings in group settings and at national/international conferences.
Notes:
- This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
- This position is represented by a union for collective bargaining purposes.
- The monthly salary range for this position is $8,321-$10,418 and is expected to start at $8,321 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
- This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
- Work may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=309013 and follow the on-line instructions to complete the application process.
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
·
·
2025-09-12
Event Type
Job Posting
TimeMonday, 17 November 20254:00pm - 4:00pm CST
LocationHall 6
United States of America
Lawrence Berkeley National Laboratory
In-person
Full Time
Theoretical Physicist Postdoc for Distributed Quantum Computing
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionTheoretical Physicist Postdoc for Distributed Quantum Computing - 104945
Division: SN-Scientific Networking
A recently funded collaborative project between the ESnet division of Lawrence Berkeley National Laboratory (LBNL) and QuEra Computing is seeking a highly motivated Postdoctoral Researcher to explore a novel optical interconnect approach for distributed quantum computing with neutral atoms. This research aims to integrate atomic ensemble qubits into optical tweezer arrays of single atoms, enabling quantum networking between state-of-the-art quantum processors and paving the way for scalable quantum computers.
This project will involve theoretical and numerical analysis of Rydberg mediated interactions of a single atom with a micro-ensemble of atoms that can be used to collectively emit and store single photons for high-rate, high fidelity remote entanglement without the need of optical resonators. As a Postdoc on this project, you will play a central role in advancing this cutting-edge research and collaborate closely with researchers and engineers from both the ESnet and QuEra teams. Your work will directly influence the experimental and engineering directions needed to realize large-scale, fault-tolerant quantum computers.
Titled “Scalable Neutral-Atom Quantum Computing via Local-Area Quantum Communications Enabled by Atomic Ensemble Qubits,” this two-year DOE-funded initiative brings together leading experts from ESnet—developers of one of the largest quantum networking testbeds—and QuEra, a pioneering quantum computing startup. This government–industry collaboration offers a unique opportunity to help shape the future of data center–scale quantum computing by leveraging QuEra’s state-of-the-art technologies and the dynamic research environments of LBNL and the University of California, Berkeley.
What You Will Do:
Additional Responsibilities as needed:
What is Required:
Desired Qualifications:
Notes:
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=309012 and follow the on-line instructions to complete the application process.
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
Division: SN-Scientific Networking
A recently funded collaborative project between the ESnet division of Lawrence Berkeley National Laboratory (LBNL) and QuEra Computing is seeking a highly motivated Postdoctoral Researcher to explore a novel optical interconnect approach for distributed quantum computing with neutral atoms. This research aims to integrate atomic ensemble qubits into optical tweezer arrays of single atoms, enabling quantum networking between state-of-the-art quantum processors and paving the way for scalable quantum computers.
This project will involve theoretical and numerical analysis of Rydberg mediated interactions of a single atom with a micro-ensemble of atoms that can be used to collectively emit and store single photons for high-rate, high fidelity remote entanglement without the need of optical resonators. As a Postdoc on this project, you will play a central role in advancing this cutting-edge research and collaborate closely with researchers and engineers from both the ESnet and QuEra teams. Your work will directly influence the experimental and engineering directions needed to realize large-scale, fault-tolerant quantum computers.
Titled “Scalable Neutral-Atom Quantum Computing via Local-Area Quantum Communications Enabled by Atomic Ensemble Qubits,” this two-year DOE-funded initiative brings together leading experts from ESnet—developers of one of the largest quantum networking testbeds—and QuEra, a pioneering quantum computing startup. This government–industry collaboration offers a unique opportunity to help shape the future of data center–scale quantum computing by leveraging QuEra’s state-of-the-art technologies and the dynamic research environments of LBNL and the University of California, Berkeley.
What You Will Do:
- Develop theoretical frameworks for quantum light-matter interactions in the context of distributed quantum computing.
- Model and analyze Rydberg-mediated interactions for both single-atom and ensemble qubits.
- Analyze optical trapping and transport dynamics of single atoms and ensembles.
- Evaluate and benchmark atomic ensemble qubits as optical quantum memories and deterministic single-photon sources for high-rate, high-fidelity remote entanglement between quantum processors.
- Investigate the integration of ensemble qubits into multi-zone processor architectures to enable scalable, fault-tolerant quantum computing.
- Collaborate closely with experimentalists and engineers to guide the development and implementation of networked quantum processors.
Additional Responsibilities as needed:
- Assist in project coordination and contribute to the preparation of project deliverables.
- Disseminate research findings through publications in high-impact journals and presentations at national and international conferences.
- Travel occasionally for collaboration and/or research dissemination.
What is Required:
- Ph.D. and/or previous Postdoc studies in at least one of the following areas: quantum optics, quantum networking, quantum computing.
- Strong theoretical background in the trapping and coherent manipulation of neutral atoms for quantum information processing and quantum communication.
- Extensive experience in theoretical and numerical studies of quantum light-matter interfaces and Rydberg interactions with applications to single-atom and atomic-ensemble neutral-atom platforms.
- Proven expertise in the physical modelling and performance analysis of key components of the neutral-atom systems, including (but not limited) to spin-wave quantum memories, single-photon sources, Rydberg-based quantum gates.
- Solid understanding of fault-tolerance aspect in quantum information processing and its implications for scalable architectures.
Desired Qualifications:
- Familiarity with experimental implementations, including relevant hardware, tools, and control systems.
- Demonstrated ability to work effectively in a collaborative, interdisciplinary teams composed of scientists, engineers, and students from diverse backgrounds.
- Strong written and oral communication skills, with experience presenting research findings in group settings and at national/international conferences.
Notes:
- This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
- This position is represented by a union for collective bargaining purposes.
- The monthly salary range for this position is $8,321-$10,418 and is expected to start at $8,321 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
- This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
- Work may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=309012 and follow the on-line instructions to complete the application process.
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
·
·
2025-09-12
Event Type
Job Posting
TimeMonday, 17 November 20254:00pm - 4:00pm CST
LocationHall 6
United States of America
Lawrence Berkeley National Laboratory
In-person
Full Time
Monday, 17 November 2025 4pm-4:01pm Hall 6
HPC Developer
·
Susquehanna International Group
·
Bala Cynwyd, PA
Hide Details
SessionJob Postings
DescriptionAbout Us
We are looking for engineers to build tools that efficiently process large amounts of data, produce features, and perform calculations using HPC techniques, ML training/inference, GPUs, and custom FPGA accelerators. Our team includes 100+ researchers who are constantly developing new features and models to drive trading strategies. As our data and computational demands grow, we are expanding our infrastructure team to ensure our researchers can work efficiently and effectively in a fast-paced environment.
Responsibilities
• Design and develop scalable, high-performance tools for data processing and ML workflows that support trading research and model development.
• Identify and resolve computational bottlenecks in large-scale systems.
• Collaborate closely with quantitative researchers to understand their needs and translate them into robust, user-friendly tools.
• Build and maintain a research environment that is both powerful and easy to use, enabling rapid experimentation and deployment.
We are looking for engineers to build tools that efficiently process large amounts of data, produce features, and perform calculations using HPC techniques, ML training/inference, GPUs, and custom FPGA accelerators. Our team includes 100+ researchers who are constantly developing new features and models to drive trading strategies. As our data and computational demands grow, we are expanding our infrastructure team to ensure our researchers can work efficiently and effectively in a fast-paced environment.
Responsibilities
• Design and develop scalable, high-performance tools for data processing and ML workflows that support trading research and model development.
• Identify and resolve computational bottlenecks in large-scale systems.
• Collaborate closely with quantitative researchers to understand their needs and translate them into robust, user-friendly tools.
• Build and maintain a research environment that is both powerful and easy to use, enabling rapid experimentation and deployment.
RequirementsYou Might Be a Good Fit If:
• You have strong experience in HPC development.
• You’re proficient in Python, C/C++, or similar languages used in scientific and quantitative computing.
• You’re familiar with ML frameworks and large-scale data pipelines.
• You’ve worked with GPUs and/or custom accelerators like FPGAs.
• You enjoy performance tuning and building tools that empower others to do their best work.
Company DescriptionAbout Susquehanna:
Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.
What we do:
We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.
·
·
2025-10-10
Event Type
Job Posting
TimeMonday, 17 November 20254:00pm - 4:01pm CST
LocationHall 6
United States of America
Susquehanna International Group
In-person
Full Time
Similar Presentations
Monday, 17 November 2025 4:01pm-4:01pm Hall 6
Power FAE (Austin, TX)
·
LITEON Technology
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionA Power Field Application Engineer (FAE) is a key player in bridging the gap between a company's technical products or services and its target audience. This role will support our power supply products, and provides technical support to East Coast customers, including Dell. The FAE will collaborate with Asia-based engineering teams on new product introductions.
1.Field Application Engineer locating in Austin TX Onsite & Remote from home serve as East-coast regional FAE for 1st tier & 2nd tier customers with immediate responsibility as local support for Dell account besides supporting all other east coast customers in different regions as necessary.
2.Engage with key AC-DC & DC-DC power supply customers as on-site FAE support to do first level failure analysis.
3.Proactively identify customer technical issues to determine correct solution selection, quality issues, etc.
4.Support to resolve field issues at customer sites, including first-level FA, FW and HW rework, etc.
5.Work with Asian engineering teams for NPI programs, facilitating technical communications, on-site testing and debugging.
6.Will support all required rework in US & Mexico if required.
7.Travel US Domestic, Mexico & Asia as needed. Traveling with our commercial team, the Field Application Engineer will be the primary customer interface for all technical discussions
1.Field Application Engineer locating in Austin TX Onsite & Remote from home serve as East-coast regional FAE for 1st tier & 2nd tier customers with immediate responsibility as local support for Dell account besides supporting all other east coast customers in different regions as necessary.
2.Engage with key AC-DC & DC-DC power supply customers as on-site FAE support to do first level failure analysis.
3.Proactively identify customer technical issues to determine correct solution selection, quality issues, etc.
4.Support to resolve field issues at customer sites, including first-level FA, FW and HW rework, etc.
5.Work with Asian engineering teams for NPI programs, facilitating technical communications, on-site testing and debugging.
6.Will support all required rework in US & Mexico if required.
7.Travel US Domestic, Mexico & Asia as needed. Traveling with our commercial team, the Field Application Engineer will be the primary customer interface for all technical discussions
Requirements1. Minimum BS’s degree in Electrical Engineering or related plus 5 years’ experience as a Field Electrical Applications Engineer, Design Power Engineer or related.
2. Require power supply design experience, familiar with power factor correction (PFC) circuit, isolated D/D circuit, voltage and current control, analogy circuitry and basic digital control concept.
3.Hands on technical experience in Hardware and firmware
4. Require Hands-on testing, debugging capabilities.
5. Familiar with basic lab equipment, such as AC sources, DC sources, DC load, V-meters, oscilloscopes etc.
6.Experience doing simple SMD circuit rework.
7.Require good communications and good interpersonal characteristics. Mandarin-speaking is preferred, but not required.
8.Willing to learn.
9. Self-motivated personality
Company DescriptionFounded in 1975, and being the first listed electronics company in Taiwan, LITEON Technology is a world-leading provider of opto-semiconductor, power supply management and key electronic products with global manufacturing facilities. LITEON provides products extensively utilized in fields such as cloud computing, automotive electronics, optoelectronic semiconductors, 5G, AIoT, information and communication technology, and consumer electronics.
LITEON's business philosophy revolves around valuing people as the core of our company. We prioritize and cherish every employee, partner, and customer. Through technology, we aim to enhance the global environment and human life. LITEON has long been committed to addressing environmental issues and proposing innovative solutions that combine environmental sustainability with high added value. We strategize, take effective actions, and exert our influence on the environment and society. We create a diverse and inclusive environment, fostering personal growth and lever
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:01pm - 4:01pm CST
LocationHall 6
United States of America
LITEON Technology
In-person
Remote
Full Time
Similar Presentations
Power FAE (Milpitas, CA)
·
LITEON Technology
·
Milpitas, CA
Hide Details
SessionJob Postings
DescriptionA Power Field Application Engineer (FAE) is a key player in bridging the gap between a company's technical products or services and its target audience. This role will support our power supply products, and provides technical support to West Coast customers, Specifically Cisco. The FAE will collaborate with Asia-based engineering teams on new product introductions.
1.Field Application Engineer locating in Milpitas CA Onsite serves as West-coast regional FAE for 1st tier & 2nd tier customers with immediate responsibility as local support for Cisco account besides supporting all other East to West coast customers in different regions as necessary.
2. Engage with key AC-DC & DC-DC power supply customers as on-site FAE support to do first level failure analysis.
3.Proactively identify customer technical issues to determine correct solution selection, quality issues, etc.
4.Support to resolve field issues at customer sites, including first-level FA, FW and HW rework, etc.
5.Work with Asian engineering teams for NPI programs, facilitating technical communications, on-site testing and debugging.
6.Will support all required rework in US & Mexico if required.
7.Travel US Domestic, Mexico & Asia as needed. Traveling with our commercial team, the Field Application Engineer will be the primary customer interface for all technical discussions
1.Field Application Engineer locating in Milpitas CA Onsite serves as West-coast regional FAE for 1st tier & 2nd tier customers with immediate responsibility as local support for Cisco account besides supporting all other East to West coast customers in different regions as necessary.
2. Engage with key AC-DC & DC-DC power supply customers as on-site FAE support to do first level failure analysis.
3.Proactively identify customer technical issues to determine correct solution selection, quality issues, etc.
4.Support to resolve field issues at customer sites, including first-level FA, FW and HW rework, etc.
5.Work with Asian engineering teams for NPI programs, facilitating technical communications, on-site testing and debugging.
6.Will support all required rework in US & Mexico if required.
7.Travel US Domestic, Mexico & Asia as needed. Traveling with our commercial team, the Field Application Engineer will be the primary customer interface for all technical discussions
Requirements1. Minimum BS’s degree in Electrical Engineering or related plus 5 years’ experience as a Field Electrical Applications Engineer, Design Power Engineer or related.
2. Require power supply design experience, familiar with power factor correction (PFC) circuit, isolated D/D circuit, voltage and current control, analogy circuitry and basic digital control concept.
3.Hands on technical experience in Hardware and firmware.
4. Require Hands-on testing, debugging capabilities.
5. Familiar with basic lab equipment, such as AC sources, DC sources, DC load, V-meters, oscilloscopes etc.
6.Experience doing simple SMD circuit rework.
7.Require good communications and good interpersonal characteristics. Mandarin-speaking is preferred, but not required.
8.Willing to learn.
9. Self-motivated personality.
Company DescriptionFounded in 1975, and being the first listed electronics company in Taiwan, LITEON Technology is a world-leading provider of opto-semiconductor, power supply management and key electronic products with global manufacturing facilities. LITEON provides products extensively utilized in fields such as cloud computing, automotive electronics, optoelectronic semiconductors, 5G, AIoT, information and communication technology, and consumer electronics.
LITEON's business philosophy revolves around valuing people as the core of our company. We prioritize and cherish every employee, partner, and customer. Through technology, we aim to enhance the global environment and human life. LITEON has long been committed to addressing environmental issues and proposing innovative solutions that combine environmental sustainability with high added value. We strategize, take effective actions, and exert our influence on the environment and society. We create a diverse and inclusive environment, fostering personal growth and leveraging our collective strengths.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:01pm - 4:01pm CST
LocationHall 6
United States of America
LITEON Technology
In-person
Full Time
Similar Presentations
Monday, 17 November 2025 4:01pm-4:02pm Hall 6
HPC Systems Engineer
·
Susquehanna International Group
·
Bala Cynwyd, PA
Hide Details
SessionJob Postings
DescriptionOverview
As a member of our Platform Development team, you will be instrumental in building and optimizing high-performance trading systems, research compute clusters, databases, support systems, and more. You will heavily utilize Linux and Windows internals while working on servers in our HPC environment.
What You'll Do:
Automate and Evolve: Contribute to our library of home-grown tools, written primarily in Python and Bash, to automate monitoring, and maintenance, allowing you to focus on performance related issues and projects.
Collaborate: Work closely with Strategy Developers, Quantitative Researchers, and trade-supporting application teams to translate complex problems into scalable solutions. Coordinate with IT infrastructure teams, including storage and networking, to identify and implement the best solutions.
Optimize: Tune operating systems and batch workflows for performance. Dive deep on root-cause analysis of systems issues. Integrate all of these solutions into our systems effectively and efficiently.
Comprehensive HPC Environment Management: Oversee all aspects of our HPC environment, including the scheduler, parallel filesystems, GPUs, and interconnects.
High throughput storage: Implement and optimize high-performance storage solutions, including Lustre, VAST, and GPFS, to efficiently support and enhance cluster performance.
Capacity Planning and Design: Develop strategies to ensure optimal resource allocation and scalability, using analytics to forecast needs and design efficient, reliable systems.
Troubleshooting and Tuning: Utilize monitoring and diagnostic tools to quickly pinpoint failures, streamline troubleshooting processes, and ensure the timely recovery of disrupted workflows.
As a member of our Platform Development team, you will be instrumental in building and optimizing high-performance trading systems, research compute clusters, databases, support systems, and more. You will heavily utilize Linux and Windows internals while working on servers in our HPC environment.
What You'll Do:
Automate and Evolve: Contribute to our library of home-grown tools, written primarily in Python and Bash, to automate monitoring, and maintenance, allowing you to focus on performance related issues and projects.
Collaborate: Work closely with Strategy Developers, Quantitative Researchers, and trade-supporting application teams to translate complex problems into scalable solutions. Coordinate with IT infrastructure teams, including storage and networking, to identify and implement the best solutions.
Optimize: Tune operating systems and batch workflows for performance. Dive deep on root-cause analysis of systems issues. Integrate all of these solutions into our systems effectively and efficiently.
Comprehensive HPC Environment Management: Oversee all aspects of our HPC environment, including the scheduler, parallel filesystems, GPUs, and interconnects.
High throughput storage: Implement and optimize high-performance storage solutions, including Lustre, VAST, and GPFS, to efficiently support and enhance cluster performance.
Capacity Planning and Design: Develop strategies to ensure optimal resource allocation and scalability, using analytics to forecast needs and design efficient, reliable systems.
Troubleshooting and Tuning: Utilize monitoring and diagnostic tools to quickly pinpoint failures, streamline troubleshooting processes, and ensure the timely recovery of disrupted workflows.
RequirementsWhat we're looking for
- A Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related discipline.
- 5-7 years of progressive experience building Linux and/or Windows based HPC based platforms.
- Familiarity with kernel-level and I/O subsystem tweaks and tools such as sysctl, strace, tcpdump, and netstat. Bonus points for equivalent Windows knowledge (registry, procmon, wireshark, tshark).
- Recent hands-on experience with automation in Python or other tools.
- Experience administering Lustre, GPFS, VAST, or other parallel filesystems.
- Understanding of resource schedulers like HTCondor, SLURM, or similar.
Company DescriptionAbout Susquehanna
Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.
What we do
We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.
·
·
2025-10-10
Event Type
Job Posting
TimeMonday, 17 November 20254:01pm - 4:02pm CST
LocationHall 6
United States of America
Susquehanna International Group
In-person
Full Time
Monday, 17 November 2025 4:02pm-4:02pm Hall 6
Power FAE (Boston, MA)
·
LITEON Technology
·
Boston, MA
Hide Details
SessionJob Postings
DescriptionWe are looking for a Field Application Engineer based in Boston to support East Coast regional customers, with a primary focus on the Oracle account. This role provides onsite and remote technical support, including first-level troubleshooting, root cause analysis, and hardware/firmware debugging. The FAE will engage with AC-DC and DC-DC power supply customers to address technical issues and optimize solutions. Responsibilities include supporting field rework, testing, and validation in collaboration with Asian engineering teams. The position requires hands-on skills, strong communication, and the ability to travel domestically and internationally.
•Field Application Engineer locating in Boston Onsite & Remote from home Serve as East-coast regional FAE for 1st tier & 2nd tier customers with immediate responsibility as local support for Oracle account besides supporting all other east coast customers in different regions as necessary.
•Engage with key AC-DC & DC-DC power supply customers as on-site FAE support to do first level failure analysis.
•Proactively identify customer technical issues to determine correct solution selection, quality issues, etc.
•Support to resolve field issues at customer sites, including first-level FA, FW and HW rework, etc.
•Work with Asian engineering teams for NPI programs, facilitating technical communications, on-site testing and debugging.
•Will support all required rework in US & Mexico if required.
•Travel US Domestic, Mexico & Asia as needed.
•Field Application Engineer locating in Boston Onsite & Remote from home Serve as East-coast regional FAE for 1st tier & 2nd tier customers with immediate responsibility as local support for Oracle account besides supporting all other east coast customers in different regions as necessary.
•Engage with key AC-DC & DC-DC power supply customers as on-site FAE support to do first level failure analysis.
•Proactively identify customer technical issues to determine correct solution selection, quality issues, etc.
•Support to resolve field issues at customer sites, including first-level FA, FW and HW rework, etc.
•Work with Asian engineering teams for NPI programs, facilitating technical communications, on-site testing and debugging.
•Will support all required rework in US & Mexico if required.
•Travel US Domestic, Mexico & Asia as needed.
Requirements•Minimum BS’s degree in Electrical Engineering or related plus 5 years’ experience as a Field Electrical Applications Engineer, Design Power Engineer or related.
•Require power supply design experience, familiar with power factor correction (PFC) circuit, isolated D/D circuit, voltage and current control, analogy circuitry and basic digital control concept.
•Hands on technical experience in Hardware and firmware
•Require Hands-on testing, debugging capabilities.
•Familiar with basic lab equipment, such as AC sources, DC sources, DC load, V-meters, oscilloscopes etc.
•Experience doing simple SMD circuit rework.
•Require good communications and good interpersonal characteristics. Mandarin-speaking is preferred, but not required.
•Willing to learn.
•Self-motivated personality
Company DescriptionFounded in 1975, and being the first listed electronics company in Taiwan, LITEON Technology is a world-leading provider of opto-semiconductor, power supply management and key electronic products with global manufacturing facilities. LITEON provides products extensively utilized in fields such as cloud computing, automotive electronics, optoelectronic semiconductors, 5G, AIoT, information and communication technology, and consumer electronics.
LITEON's business philosophy revolves around valuing people as the core of our company. We prioritize and cherish every employee, partner, and customer. Through technology, we aim to enhance the global environment and human life. LITEON has long been committed to addressing environmental issues and proposing innovative solutions that combine environmental sustainability with high added value. We strategize, take effective actions, and exert our influence on the environment and society. We create a diverse and inclusive environment, fostering personal growth and leveraging our collective strengths.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:02pm - 4:02pm CST
LocationHall 6
United States of America
LITEON Technology
In-person
Remote
Full Time
Similar Presentations
Mechanical/ Thermal FAE (Austin,TX)
·
LITEON Technology
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionA Mechanical/ Thermal Field Application Engineer (FAE) is a key player in bridging the gap between a company's technical products or services and its target audience. This role will support our power supply products, and provides technical support to East Coast customers. The FAE will collaborate with Asia-based engineering teams on new product introductions.
1. Field Application Engineer locating in Austin, TX Onsite serve as East to Weat-coast regional FAE for 1st tier & 2nd tier customers.
2. Mechanical/ Thermal FAE will leverage our vast internal organization of design, process, and product engineering to solve our customers’ Mechanical & Thermal problems and help drive design wins and revenue growth.
3. Clearly communicate abstract concepts to customers with a wide range of technical and non-technical backgrounds.
4. Conduct thermal analysis and validate hydraulic-thermal models.
5. Determine customer requirements (both explicit and implicit) and accurately communicate them back to key engineering team members.
6. Drive product design development incorporating design rules, performance optimization and manufacturing for HVM (high volume manufacturing).
7. Multi-tasking of numerous customer opportunities with the ability to prioritize efforts.
8. Role includes pre- and post- sales support, troubleshooting, debug, qualification, and communicating failure analysis results on all types of Rack/ Enclosures and Liquid Cooling Solutions.
9. Identify the unique electrical, thermal & mechanical challenges facing each application and utilize market insight, technical prowess, and the ability to deviate from convention to accelerate our engagements.
10. Must be able to develop and deliver technical presentations, technical education, system hardware demonstration and application notes in support of the Business Unit objectives.
11. Must understand customer design cycles to drive our product design-in opportunities.
12. Leverage extensive personal experience in thermal/mechanical/electrical design and material science to become a trusted partner for our customers.
13. Will support all required rework in US & Mexico if required. Travel US Domestic, Mexico & Asia as needed.
14. Traveling with our commercial team, the Field Application Engineer will be the primary customer interface for all technical discussions.
1. Field Application Engineer locating in Austin, TX Onsite serve as East to Weat-coast regional FAE for 1st tier & 2nd tier customers.
2. Mechanical/ Thermal FAE will leverage our vast internal organization of design, process, and product engineering to solve our customers’ Mechanical & Thermal problems and help drive design wins and revenue growth.
3. Clearly communicate abstract concepts to customers with a wide range of technical and non-technical backgrounds.
4. Conduct thermal analysis and validate hydraulic-thermal models.
5. Determine customer requirements (both explicit and implicit) and accurately communicate them back to key engineering team members.
6. Drive product design development incorporating design rules, performance optimization and manufacturing for HVM (high volume manufacturing).
7. Multi-tasking of numerous customer opportunities with the ability to prioritize efforts.
8. Role includes pre- and post- sales support, troubleshooting, debug, qualification, and communicating failure analysis results on all types of Rack/ Enclosures and Liquid Cooling Solutions.
9. Identify the unique electrical, thermal & mechanical challenges facing each application and utilize market insight, technical prowess, and the ability to deviate from convention to accelerate our engagements.
10. Must be able to develop and deliver technical presentations, technical education, system hardware demonstration and application notes in support of the Business Unit objectives.
11. Must understand customer design cycles to drive our product design-in opportunities.
12. Leverage extensive personal experience in thermal/mechanical/electrical design and material science to become a trusted partner for our customers.
13. Will support all required rework in US & Mexico if required. Travel US Domestic, Mexico & Asia as needed.
14. Traveling with our commercial team, the Field Application Engineer will be the primary customer interface for all technical discussions.
Requirements1. Minimum BS’s degree in Mechanical Engineering or related plus 5 years’ experience as a Thermal Applications Engineer, Mechanical Engineer or related, Any Liquid Cooling Solutions experience is preferred.
2. Hands on technical experience in Hardware and firmware.
3.Require Hands-on testing, debugging capabilities.
4. Require good communications and good interpersonal characteristics. Mandarin-speaking is preferred, but not required.
5. Willing to learn.
6. Self-motivated personality.
Company DescriptionFounded in 1975, and being the first listed electronics company in Taiwan, LITEON Technology is a world-leading provider of opto-semiconductor, power supply management and key electronic products with global manufacturing facilities. LITEON provides products extensively utilized in fields such as cloud computing, automotive electronics, optoelectronic semiconductors, 5G, AIoT, information and communication technology, and consumer electronics.
LITEON's business philosophy revolves around valuing people as the core of our company. We prioritize and cherish every employee, partner, and customer. Through technology, we aim to enhance the global environment and human life. LITEON has long been committed to addressing environmental issues and proposing innovative solutions that combine environmental sustainability with high added value. We strategize, take effective actions, and exert our influence on the environment and society. We create a diverse and inclusive environment, fostering personal growth and leveraging our collective strengths.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:02pm - 4:02pm CST
LocationHall 6
United States of America
LITEON Technology
In-person
Remote
Full Time
Electrical Engineer (Seattle, WA)
·
LITEON Technology
·
Seattle, WA
Hide Details
SessionJob Postings
DescriptionA front end Electrical Engineer is a key player in bridging the gap between a company's technical products or services and its target audience. This role requires strong technical understanding on: • Power electronics, High Voltage AC-DC Design • Digital/Analog Control Systems • Simulation Tools • PCB Design • Familiar with all Standards & Compliance requirements
• Technical Expertise: Stay up to date on the latest technologies relevant to the company's power products, Rack enclosure as well as Liquid Cooling solutions. Translate complex technical information into clear and concise messages.
• Design Collaboration: Collaborate with the design team to create visually appealing and informative technical materials.
• Industry Knowledge: Stay current on trends and innovations in the power products industry, including renewable energy sources and energy efficiency.
• Competitive Analysis: Research and analyze competitor offerings in the power products, identifying key differentiators and value propositions for the company's products.
• Technical Expertise: Stay up to date on the latest technologies relevant to the company's power products, Rack enclosure as well as Liquid Cooling solutions. Translate complex technical information into clear and concise messages.
• Design Collaboration: Collaborate with the design team to create visually appealing and informative technical materials.
• Industry Knowledge: Stay current on trends and innovations in the power products industry, including renewable energy sources and energy efficiency.
• Competitive Analysis: Research and analyze competitor offerings in the power products, identifying key differentiators and value propositions for the company's products.
Requirements• Bachelor's degree in Electrical Engineering, Power Electronics, or a related technical field preferred.
• 5 years of experience in High Power Products design required. • Collaborative style with strategic thinking, strong communication skills, and visibility.
• Ambitious, analytical, goal-oriented, and results-driven.
• Synergistic team approach .
• Highly motivated, ambitious and have a strong desire to succeed.
• Hands-on Player / Coach contributor
• High integrity
• Ability to work to tight time schedules and demonstrate initiative.
• Ability to express ideas clearly and articulate concepts and strategies to peers and senior management.
• Very strong team player, able to work in a fast-paced, dynamic business environment.
• Customer service focused.
Company DescriptionFounded in 1975, and being the first listed electronics company in Taiwan, LITEON Technology is a world-leading provider of opto-semiconductor, power supply management and key electronic products with global manufacturing facilities. LITEON provides products extensively utilized in fields such as cloud computing, automotive electronics, optoelectronic semiconductors, 5G, AIoT, information and communication technology, and consumer electronics.
LITEON's business philosophy revolves around valuing people as the core of our company. We prioritize and cherish every employee, partner, and customer. Through technology, we aim to enhance the global environment and human life. LITEON has long been committed to addressing environmental issues and proposing innovative solutions that combine environmental sustainability with high added value. We strategize, take effective actions, and exert our influence on the environment and society. We create a diverse and inclusive environment, fostering personal growth and leveraging our collective strengths.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:02pm - 4:02pm CST
LocationHall 6
United States of America
LITEON Technology
In-person
Remote
Full Time
Monday, 17 November 2025 4:02pm-4:03pm Hall 6
Technical Account Manager (Austin, TX)
·
LITEON Technology
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionThe Technical Account Manager (TAM) is hands-on and responsible for driving LITEON relationships at the specified strategic account. The primary focus will be on power supplies, liquid cooling, and mechanical enclosures/racks. This person owns the relationship with engineering at the strategic account on behalf of LITEON.
• Drive sales growth and consistently exceed revenue budgets.
• Conduct quarterly business reviews with Account management reviewing direction and road mapping.
• Track monthly reporting attainment to KPI’s once established.
• Identify and develop opportunities for all LITEON business units.
• Analyze customer needs and collaborate with management to develop effective strategies.
• Build strong customer relationships and comprehensive understanding to influence hierarchy, product and business roadmaps, vendor selection processes, decision-making criteria, and competitive awareness.
• Foster a customer-centric mindset, focusing on long-term partnerships.
• Drive sales growth and consistently exceed revenue budgets.
• Conduct quarterly business reviews with Account management reviewing direction and road mapping.
• Track monthly reporting attainment to KPI’s once established.
• Identify and develop opportunities for all LITEON business units.
• Analyze customer needs and collaborate with management to develop effective strategies.
• Build strong customer relationships and comprehensive understanding to influence hierarchy, product and business roadmaps, vendor selection processes, decision-making criteria, and competitive awareness.
• Foster a customer-centric mindset, focusing on long-term partnerships.
Requirements1. Bachelor’s Degree in Business Administration (or equivalent experience).
2. 3 – 5 years of related or equivalent experience in the Server industry in a Sales Account Manager role.
3. Capable of working in a constantly evolving environment without losing focus.
4. Ability to multitask effectively in a dynamic environment.
5. Expert analytical and problem-solving skills.
6. Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
7. Ability to identify issues, obtain relevant information, analyze and compare data from different sources, and identify alternative solutions.
8. Interprets and seeks information, uses independent reasoning to diagnose the root cause of situations or issues, identifies and tests solutions and thinks beyond what is typical or customary.
9. Strong written and oral communication skills in English with the ability to effectively collaborate with management and engineering.
10. Ability to manage resources, monitor activities, and assess risks and quality issues associated with the program/project.
11. Language Skill: Bilingual in English/Mandarin is a plus, aligned with business needs.
12. Flexibility to work some evening hours as needed.
13. Proficient in Microsoft Office including Word, Excel, Outlook, Teams, PowerPoint, and/or other applications to streamline communication and complete tasks.
Company DescriptionFounded in 1975, and being the first listed electronics company in Taiwan, LITEON Technology is a world-leading provider of opto-semiconductor, power supply management and key electronic products with global manufacturing facilities. LITEON provides products extensively utilized in fields such as cloud computing, automotive electronics, optoelectronic semiconductors, 5G, AIoT, information and communication technology, and consumer electronics.
LITEON's business philosophy revolves around valuing people as the core of our company. We prioritize and cherish every employee, partner, and customer. Through technology, we aim to enhance the global environment and human life. LITEON has long been committed to addressing environmental issues and proposing innovative solutions that combine environmental sustainability with high added value. We strategize, take effective actions, and exert our influence on the environment and society. We create a diverse and inclusive environment, fostering personal growth and leveraging our collective strengths.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:02pm - 4:03pm CST
LocationHall 6
United States of America
LITEON Technology
In-person
Remote
Full Time
Monday, 17 November 2025 4:03pm-4:03pm Hall 6
GPU Kernel Engineer
·
mako.dev
·
New York, NY
Hide Details
SessionJob Postings
DescriptionOur R&D team is seeking expert level GPU kernel engineers to help build the world’s best LLMs and Agents for GPU kernel generation.
The goal is simple: design an AI agent that writes and optimizes kernels in the same way you do. You will collaborate with the training team to define robust evaluation, validation, and reward models that will be used to train LLMs in the art of GPU kernel engineering. You will also contribute to the AI agent architecture itself, defining the workflows that enable an LLM to discover and implement high performance GPU kernels.
**This job is based in either Gdansk or New York City.** Remote work will be considered for exceptional candidates.
Responsibilities:
- Explore and analyze performance bottlenecks in ML training and inference.
- Develop and optimize high-performance computing kernels in Triton, CUDA, and/or ROCm.
- Implement programming solutions in C/C++ and Python.
- Deep dive into GPU performance optimizations to maximize efficiency and speed.
- Collaborate with the team to extend and improve existing machine learning compilers or frameworks such as MLIR, Pytorch, Tensorflow, ONNX Runtime, TensorRT. (This is optional but beneficial)
The goal is simple: design an AI agent that writes and optimizes kernels in the same way you do. You will collaborate with the training team to define robust evaluation, validation, and reward models that will be used to train LLMs in the art of GPU kernel engineering. You will also contribute to the AI agent architecture itself, defining the workflows that enable an LLM to discover and implement high performance GPU kernels.
**This job is based in either Gdansk or New York City.** Remote work will be considered for exceptional candidates.
Responsibilities:
- Explore and analyze performance bottlenecks in ML training and inference.
- Develop and optimize high-performance computing kernels in Triton, CUDA, and/or ROCm.
- Implement programming solutions in C/C++ and Python.
- Deep dive into GPU performance optimizations to maximize efficiency and speed.
- Collaborate with the team to extend and improve existing machine learning compilers or frameworks such as MLIR, Pytorch, Tensorflow, ONNX Runtime, TensorRT. (This is optional but beneficial)
Requirements- Bachelor's, Master’s or PhD’s degree in Computer Science, Electrical Engineering, or a related field.
- Strong programming skills in C/C++ and Python.
- Deep understanding and experience in GPU performance optimizations.
- Proven experience with kernel optimizations on CUDA, ROCm, or other accelerators.
- General experience with the training and deployment of ML models
- Experience with distributed systems development or distributed ML workloads
Company DescriptionMako is a venture-backed AI lab building building tools to automate algorithm discovery and GPU performance engineering. There are two core components:
1. MakoGenerate writes GPU kernels in CUDA, HIP, and Triton using LLMs
2. MakoOptimize automatically selects and swaps GPU kernels in combination with tuning inference engine (vLLM, SGlang, etc..) hyperparameters to optimize performance
Bonus Points:
- Experience with innovative OSS projects like FlashAttention, FlashInfer, vllm, SGLang.
- Experience with machine learning compilers or frameworks such as TVM, MLIR, Pytorch, Tensorflow, ONNX Runtime, TensorRT.
·
·
2025-10-19
Event Type
Job Posting
TimeMonday, 17 November 20254:03pm - 4:03pm CST
LocationHall 6
United States of America
mako.dev
In-person
Remote
Full Time
DC Power Product Manager
·
nVent
·
Raleigh, NC, Wildwood, MO, St Louis Park, MN, Tucson, AZ
Hide Details
SessionJob Postings
DescriptionThis role will lead the strategy, roadmap, and commercialization of nVent’s next generation DC power distribution solutions. This is a highly visible role where you will champion innovation at the product level, turning bold concepts into differentiated offerings for hyperscale and AI datacenter customers. From shaping modular HVDC rack systems to enabling predictive, software-driven power management, you will be central to ensuring nVent SmartPower stays ahead of customer needs and competitors.
WHAT YOU WILL EXPERIENCE IN THIS POSITION:
• Drive the DC power roadmap with a focus on innovative, future-ready products.
• Identify opportunities to excel the market with features such as dynamic load prioritization, predictive analytics, and intelligent protection.
• Translate customer needs into creative product requirements that go beyond incremental improvements.
• Partner with engineering to develop innovative solutions, validating concepts through pilots and customer co-innovation.
• Drive early adoption by positioning products as best-in-class innovations, not just alternatives.
• Establish feedback loops with key hyperscale and telecom partners to validate new insights.
• Continuously assess how shifts in GPU and accelerator platforms drive customer requirements, ensuring product roadmaps stay ahead of demand.
• Collaborate with leading vendors and ecosystem partners (e.g., compute, racks, power components) to strengthen product differentiation and interoperability.
• Collaborate with marketing to communicate product differentiation and innovation leadership.
YOU HAVE:
• Bachelor’s in Engineering, Business, or related field; MBA preferred.
• 7+ years of product management experience in datacenter, telecom, or power systems.
• Ability to launch innovative products that differentiate in crowded markets.
• Knowledge of AI/datacenter trends and DC/HVDC power evolution.
• Excellent communication and customer engagement skills, with executive presence.
WHAT YOU WILL EXPERIENCE IN THIS POSITION:
• Drive the DC power roadmap with a focus on innovative, future-ready products.
• Identify opportunities to excel the market with features such as dynamic load prioritization, predictive analytics, and intelligent protection.
• Translate customer needs into creative product requirements that go beyond incremental improvements.
• Partner with engineering to develop innovative solutions, validating concepts through pilots and customer co-innovation.
• Drive early adoption by positioning products as best-in-class innovations, not just alternatives.
• Establish feedback loops with key hyperscale and telecom partners to validate new insights.
• Continuously assess how shifts in GPU and accelerator platforms drive customer requirements, ensuring product roadmaps stay ahead of demand.
• Collaborate with leading vendors and ecosystem partners (e.g., compute, racks, power components) to strengthen product differentiation and interoperability.
• Collaborate with marketing to communicate product differentiation and innovation leadership.
YOU HAVE:
• Bachelor’s in Engineering, Business, or related field; MBA preferred.
• 7+ years of product management experience in datacenter, telecom, or power systems.
• Ability to launch innovative products that differentiate in crowded markets.
• Knowledge of AI/datacenter trends and DC/HVDC power evolution.
• Excellent communication and customer engagement skills, with executive presence.
Company DescriptionnVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:03pm - 4:03pm CST
LocationHall 6
United States of America
nVent
In-person
Full Time
Monday, 17 November 2025 4:03pm-4:04pm Hall 6
Senior AI Workflow Engineer
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionToday, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
NVIDIA is hiring senior software engineers in its Infrastructure, Planning and Process Team (IPP), to accelerate AI adoption across various engineering workflows within the company. IPP is a global organization within NVIDIA. The group works with various other teams within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure and software development workflow needs. As a senior engineer on AI Workflow, you will design and implement tools and software solutions that leverage Large Language Models and agentic AI to automate end to end software engineering workflows and enhance the productivity of engineers across NVIDIA.
What you’ll be doing:
Design and implement AI-driven optimizations within software development workflows to enhance developer productivity, accelerate feedback loops, and improve release reliability.
Experience designing, developing, and deploying AI agents to automate and software development workflows and processes.
Continuously measure and report on the impact of AI interventions, demonstrating improvements in key metrics like cycle time, change failure rate, and mean time to recovery (MTTR).
Create and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures.
Conduct research on emerging technologies to recommend best practices and improvements
What we need to see:
BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.
Well versed with Large Language Mode (LLM), Machine Learning (ML), Agentic AI techniques.
Hands-on experience in using large language models (LLMs) and implementing AI for software engineering workflows.
Hands-on experience on Python/Java/Go with extensive python scripting experience.
Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
Experience in Full stack development.. Proficient in front-end (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript), back-end (e.g., Node.js, Python/Django/Flask, Ruby on Rails, Java/Spring, .NET) development, database management (SQL/NoSQL), and deployment/hosting (e.g., AWS, Azure, GCP).
Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.
Good understanding of distributed systems, understanding of microservice architecture and REST APIs.
Good to have knowledge of build tools like Make, Maven or Ant.
Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams.
Ways to stand out from the crowd:
Proactively track AI tool and technology trends, build insights, and collaborate with development teams early to evangelize AI driven workflows NVIDIA adoption.
We have some of the most forward-thinking and versatile people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. We are building a team that will truly change the world. If you are passionate about new technologies, care about software quality, and want to be part of the future of transportation and AI, I would love for you to join us.
Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex workflows, with knowledge of retrieval-augmented generation(RAG) and fine-tuning LLMs on enterprise data.
Prior development of a large software project using service oriented architecture operating with real time constraints
We have some of the most forward-thinking and versatile people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. We are building a team that will truly change the world. If you are passionate about new technologies, care about software quality, and want to be part of the future of transportation and AI, we would love for you to join us.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
NVIDIA is hiring senior software engineers in its Infrastructure, Planning and Process Team (IPP), to accelerate AI adoption across various engineering workflows within the company. IPP is a global organization within NVIDIA. The group works with various other teams within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure and software development workflow needs. As a senior engineer on AI Workflow, you will design and implement tools and software solutions that leverage Large Language Models and agentic AI to automate end to end software engineering workflows and enhance the productivity of engineers across NVIDIA.
What you’ll be doing:
Design and implement AI-driven optimizations within software development workflows to enhance developer productivity, accelerate feedback loops, and improve release reliability.
Experience designing, developing, and deploying AI agents to automate and software development workflows and processes.
Continuously measure and report on the impact of AI interventions, demonstrating improvements in key metrics like cycle time, change failure rate, and mean time to recovery (MTTR).
Create and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures.
Conduct research on emerging technologies to recommend best practices and improvements
What we need to see:
BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.
Well versed with Large Language Mode (LLM), Machine Learning (ML), Agentic AI techniques.
Hands-on experience in using large language models (LLMs) and implementing AI for software engineering workflows.
Hands-on experience on Python/Java/Go with extensive python scripting experience.
Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
Experience in Full stack development.. Proficient in front-end (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript), back-end (e.g., Node.js, Python/Django/Flask, Ruby on Rails, Java/Spring, .NET) development, database management (SQL/NoSQL), and deployment/hosting (e.g., AWS, Azure, GCP).
Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.
Good understanding of distributed systems, understanding of microservice architecture and REST APIs.
Good to have knowledge of build tools like Make, Maven or Ant.
Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams.
Ways to stand out from the crowd:
Proactively track AI tool and technology trends, build insights, and collaborate with development teams early to evangelize AI driven workflows NVIDIA adoption.
We have some of the most forward-thinking and versatile people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. We are building a team that will truly change the world. If you are passionate about new technologies, care about software quality, and want to be part of the future of transportation and AI, I would love for you to join us.
Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex workflows, with knowledge of retrieval-augmented generation(RAG) and fine-tuning LLMs on enterprise data.
Prior development of a large software project using service oriented architecture operating with real time constraints
We have some of the most forward-thinking and versatile people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. We are building a team that will truly change the world. If you are passionate about new technologies, care about software quality, and want to be part of the future of transportation and AI, we would love for you to join us.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:03pm - 4:04pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Monday, 17 November 2025 4:04pm-4:04pm Hall 6
Principal R&D Mechanical Engineer
·
nVent
·
Raleigh, NC, Anoka, MN
Hide Details
SessionJob Postings
Description***This role can be located in Anoka, MN or Raleigh, NC***
WHAT YOU WILL EXPERIENCE IN THIS POSITION:
• Join a high-growth R&D Engineering team that is focused on growth and development within our High-Density Liquid Cooling business.
• Drive multi-functional product development teams as a Subject Matter Expert, applying specialized knowledge (e.g., material science, weld engineering) to design and develop products and manufacturing processes to enhance performance and repeatability while maintaining clean internal flow path to prevent debris and corrosion in fluid systems.
• Ensure ASME compliance for piping and pressure vessels and promote standard adoption in new applications and seek out or develop additional standards as needed.
• Collaborate across Product Design, Manufacturing Engineering, and Quality teams to optimize manufacturability and meet internal/industry/customer standards both within our own facility as well as at suppliers. Assist in specifying equipment and refining processes.
• Establish product and test specifications and research the latest in industry advancements.
• Mentor junior engineers by sharing knowledge to strengthen technical depth of staff.
YOU HAVE:
• Bachelor’s degree in Mechanical Engineering or related field required. Master’s degree preferred.
• 10+ years of relevant engineering experience in related field required.
• Knowledge of ASME BPV design and applications, as well as AWS and ISO standards, ASME Section IX or equivalent certification is highly preferred.
• Knowledge of material compatibility and galvanic corrosion in fluid applications.
• Experience leading test design and supervision, developing detailed test plans and analyzing results to make confident, data-driven decisions.
• Ability to provide technical direction to multi-functional teams with open communication, identifying problems and establishing resolutions.
• Up to 20% domestic travel is required.
WHAT YOU WILL EXPERIENCE IN THIS POSITION:
• Join a high-growth R&D Engineering team that is focused on growth and development within our High-Density Liquid Cooling business.
• Drive multi-functional product development teams as a Subject Matter Expert, applying specialized knowledge (e.g., material science, weld engineering) to design and develop products and manufacturing processes to enhance performance and repeatability while maintaining clean internal flow path to prevent debris and corrosion in fluid systems.
• Ensure ASME compliance for piping and pressure vessels and promote standard adoption in new applications and seek out or develop additional standards as needed.
• Collaborate across Product Design, Manufacturing Engineering, and Quality teams to optimize manufacturability and meet internal/industry/customer standards both within our own facility as well as at suppliers. Assist in specifying equipment and refining processes.
• Establish product and test specifications and research the latest in industry advancements.
• Mentor junior engineers by sharing knowledge to strengthen technical depth of staff.
YOU HAVE:
• Bachelor’s degree in Mechanical Engineering or related field required. Master’s degree preferred.
• 10+ years of relevant engineering experience in related field required.
• Knowledge of ASME BPV design and applications, as well as AWS and ISO standards, ASME Section IX or equivalent certification is highly preferred.
• Knowledge of material compatibility and galvanic corrosion in fluid applications.
• Experience leading test design and supervision, developing detailed test plans and analyzing results to make confident, data-driven decisions.
• Ability to provide technical direction to multi-functional teams with open communication, identifying problems and establishing resolutions.
• Up to 20% domestic travel is required.
Company DescriptionnVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:04pm - 4:04pm CST
LocationHall 6
United States of America
nVent
In-person
Full Time
Similar Presentations
Linux Systems Administrator (Tier I) (ID 2025-4437)
·
Sabre Systems
·
Arlington, VA
Hide Details
SessionJob Postings
Descriptionob title: Tier I Linux Systems Administrator
Sabre is seeking a skilled Tier I Linux Systems Administrator to support a mission-critical Department of Defense (DoD) program dedicated to high-performance computing operations. This role offers the opportunity to collaborate with senior engineers and system administrators to maintain and optimize advanced computing infrastructure. (This position is for potential upcoming work and does not represent an active opening at this time. Qualified candidates will be contacted once the position becomes available.)
Duties include but not limited to:
Perform general Systems Administrator functions supporting all HPC users with courteous responses to their HPC system operations and maintenance activities issues.
Support Senior Systems Administrators (SA) in optimizing the functionality and performance of hardware and software components.
Ensure availability, integrity, efficiency, and reliability of servers, workstations, and data storage systems (Lustre, Bright Cluster)
Support other System Administrators (SA) in creating, administering, and managing Linux user accounts.
Triage Tier 1 Service desk tickets and produce service ticket reports and performance metrics.
Support Linux SA and Engineering team in the installation and testing of HPC system components, including setup and configuration of:
Hardware and software
Computing and data storage servers
Networking equipment
Computing peripherals
Provide responsive backup management, security issues, set up and configuration of Linux servers and software.
Perform timely hardware replacement not covered by third-party vendor maintenance agreements.
Assist Network personnel in the configuration of networking equipment, ensuring network security, and managing firewalls.
Implement necessary measures to comply with all Program security requirements.
Adhere to all IT policies, processes, and procedures.
Manage changing priorities.
Location: The selected candidate will be required to work onsite in Arlington, VA
Sabre is seeking a skilled Tier I Linux Systems Administrator to support a mission-critical Department of Defense (DoD) program dedicated to high-performance computing operations. This role offers the opportunity to collaborate with senior engineers and system administrators to maintain and optimize advanced computing infrastructure. (This position is for potential upcoming work and does not represent an active opening at this time. Qualified candidates will be contacted once the position becomes available.)
Duties include but not limited to:
Perform general Systems Administrator functions supporting all HPC users with courteous responses to their HPC system operations and maintenance activities issues.
Support Senior Systems Administrators (SA) in optimizing the functionality and performance of hardware and software components.
Ensure availability, integrity, efficiency, and reliability of servers, workstations, and data storage systems (Lustre, Bright Cluster)
Support other System Administrators (SA) in creating, administering, and managing Linux user accounts.
Triage Tier 1 Service desk tickets and produce service ticket reports and performance metrics.
Support Linux SA and Engineering team in the installation and testing of HPC system components, including setup and configuration of:
Hardware and software
Computing and data storage servers
Networking equipment
Computing peripherals
Provide responsive backup management, security issues, set up and configuration of Linux servers and software.
Perform timely hardware replacement not covered by third-party vendor maintenance agreements.
Assist Network personnel in the configuration of networking equipment, ensuring network security, and managing firewalls.
Implement necessary measures to comply with all Program security requirements.
Adhere to all IT policies, processes, and procedures.
Manage changing priorities.
Location: The selected candidate will be required to work onsite in Arlington, VA
RequirementsJob Requirements:
Bachelor's degree in STEM discipline (e.g., CS, Engineering, Information Technology, etc.) and 5+ years of relevant experience
Current DoD 8140 IAT II Certification (e.g., Security+ CE)
VMware vSphere 6 and up
Scripting (BASH, Python, or Perl)
Familiarity with Kubernetes, containerized technology, Ansible, and PostgreSQL
Familiarity with the Risk Management Framework (RMF), and securing and hardening Linux systems to meet RMF controls.
Knowledge of CUDA, Google TensorFlow, or similar toolsets.
Clearance Requirements:
This position requires an active Top Secret DoD security clearance (U.S. Citizenship Required)
Compensation:
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements. The general salary range for this position is $70,000 - $150,000; however, final compensation will be determined by individual qualifications and applicable contract terms.
Company DescriptionSabre Systems provides advanced engineering, systems integration, and technical solutions that enable the Department of Defense and other federal agencies to strengthen mission capabilities and operational efficiency. Our teams deliver comprehensive support across high performance computing (HPC), cloud infrastructure, data storage, and systems administration, ensuring the seamless operation of complex, secure, and scalable environments.
We combine deep technical expertise with a mission driven focus to design, implement, and sustain innovative solutions that power critical research, analysis, and engineering initiatives. From optimizing HPC clusters and managing large scale data environments to deploying containerized systems and maintaining secure Linux infrastructures, Sabre’s engineers play a vital role in advancing technology across federal programs.
We’re hiring immediately to fill several technical roles. Visit www.sabresystems.com/careers
to learn more and apply.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:04pm - 4:04pm CST
LocationHall 6
United States of America
Sabre Systems
In-person
Full Time
HPC Data Storage Engineer (ID 2025-4433)
·
Sabre Systems
·
Arlington, VA
Hide Details
SessionJob Postings
DescriptionJob title: HPC Data Storage Engineer
Sabre is seeking an HPC Data Storage Engineer to support a mission-critical Department of Defense (DoD) program dedicated to high-performance computing operations. In this role, you will be responsible for managing and optimizing data storage systems that underpin large-scale HPC clusters and networking infrastructure. Your contributions will directly enable advanced data-intensive research efforts that are essential to national defense
Duties include but not limited to:
Manage where data is stored
Capacity planning and management, performance management, metrics reporting, storage quotas, policy enforcement, hardware management and tuning
Interface with HPC users to identify potential performance improvement strategies
Remotely assist a counterpart located at an alternate site as needed
Location: The selected candidate will be required to work onsite in Arlington, VA
Sabre is seeking an HPC Data Storage Engineer to support a mission-critical Department of Defense (DoD) program dedicated to high-performance computing operations. In this role, you will be responsible for managing and optimizing data storage systems that underpin large-scale HPC clusters and networking infrastructure. Your contributions will directly enable advanced data-intensive research efforts that are essential to national defense
Duties include but not limited to:
Manage where data is stored
Capacity planning and management, performance management, metrics reporting, storage quotas, policy enforcement, hardware management and tuning
Interface with HPC users to identify potential performance improvement strategies
Remotely assist a counterpart located at an alternate site as needed
Location: The selected candidate will be required to work onsite in Arlington, VA
RequirementsJob Requirements:
Bachelor's in Computer Science, Computer Engineering or related field and three or more years of job related experience
Demonstrated knowledge monitoring and administering parallel filesystems such as Lustre, BeeGFS, GPFS, etc.
Experience deploying and administering data storage systems (SAN, NAS, tape archives).
Demonstrated knowledge of building, configuring, and administering production Linux computer/storage systems.
Practical experience scripting in Bash, Perl, Python, or similar languages.
Experience deploying and managing SAN infrastructure.
Working knowledge of networking concepts and practices.
Knowledge of or experience with hardware and software security practices.
Certifications: DoD 8570 IAT II/III and Red Hat Computing Environment (RHCSA)
Clearance Requirements:
This position requires an active Top Secret DoD security clearance (U.S. Citizenship Required)
Compensation:
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements. The general salary range for this position is $90,000 - $200,000; however, final compensation will be determined by individual qualifications and applicable contract terms.
Company DescriptionSabre Systems provides advanced engineering, systems integration, and technical solutions that enable the Department of Defense and other federal agencies to strengthen mission capabilities and operational efficiency. Our teams deliver comprehensive support across high performance computing (HPC), cloud infrastructure, data storage, and systems administration, ensuring the seamless operation of complex, secure, and scalable environments.
We combine deep technical expertise with a mission driven focus to design, implement, and sustain innovative solutions that power critical research, analysis, and engineering initiatives. From optimizing HPC clusters and managing large scale data environments to deploying containerized systems and maintaining secure Linux infrastructures, Sabre’s engineers play a vital role in advancing technology across federal programs.
We’re hiring immediately to fill several technical roles. Visit www.sabresystems.com/careers
to learn more and apply.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:04pm - 4:04pm CST
LocationHall 6
United States of America
Sabre Systems
In-person
Full Time
Monday, 17 November 2025 4:04pm-4:05pm Hall 6
HPC Engineer (ID 2025-4435)
·
Sabre Systems
·
Dallas, TX
Hide Details
SessionJob Postings
DescriptionJob title: HPC Engineer
Sabre is seeking an HPC Data Storage Engineer to support a mission-critical Department of Defense (DoD) program dedicated to high-performance computing operations. As an HPC Engineer, you will design, optimize, and maintain advanced high-performance computing environments that power large-scale data processing, simulation, and research operation. Your contributions will directly enable advanced data-intensive research efforts that are essential to national defense
Duties include but not limited to:
Utilize a wide variety of skills in system and network monitoring; large-scale systems administration; scripting and automation; security compliance; network distributed services; storage and backups; and hardware and software problem diagnosis and resolution.
Diagnose and troubleshoot technical problems, often of a complex nature, associated with computer hardware and software interrelationships and dependencies.
Conduct needs analysis, planning, and scheduling the installation of a wide variety of new or modified hardware/software.
Develop functional and technical IT system requirements and specifications. Configure and optimize system tools and applications, to include job schedulers (Slurm and PBSPro) and system resources (GitLab, LUA/TCL modules, and system support applications).
Create and brief technical presentations to technical and non-technical stakeholders. Maintain detailed documentation of system configurations, procedures, and troubleshooting guides. Develop user-facing documentation
Location: The selected candidate will be required to work onsite in Dallas, TX
Sabre is seeking an HPC Data Storage Engineer to support a mission-critical Department of Defense (DoD) program dedicated to high-performance computing operations. As an HPC Engineer, you will design, optimize, and maintain advanced high-performance computing environments that power large-scale data processing, simulation, and research operation. Your contributions will directly enable advanced data-intensive research efforts that are essential to national defense
Duties include but not limited to:
Utilize a wide variety of skills in system and network monitoring; large-scale systems administration; scripting and automation; security compliance; network distributed services; storage and backups; and hardware and software problem diagnosis and resolution.
Diagnose and troubleshoot technical problems, often of a complex nature, associated with computer hardware and software interrelationships and dependencies.
Conduct needs analysis, planning, and scheduling the installation of a wide variety of new or modified hardware/software.
Develop functional and technical IT system requirements and specifications. Configure and optimize system tools and applications, to include job schedulers (Slurm and PBSPro) and system resources (GitLab, LUA/TCL modules, and system support applications).
Create and brief technical presentations to technical and non-technical stakeholders. Maintain detailed documentation of system configurations, procedures, and troubleshooting guides. Develop user-facing documentation
Location: The selected candidate will be required to work onsite in Dallas, TX
RequirementsJob Requirements:
Bachelor's in Computer Engineering, Computer Science, or related field and ten or more years of job related experience.
Thorough knowledge of complex concepts, practices, and troubleshooting associated with HPC cluster systems design, installation, and maintenance.
Advanced knowledge in distributed computing theory, parallel processing, applications, and associated infrastructure is required.
Extensive experience with Linux/Unix systems including installation, configuration, networking, backups, updates and patching, data archiving, and system security. Functional knowledge of HPC middleware, and platform managers such as Bright Cluster Manager; employing job schedulers such as PBS, Slurm, Torque, etc.; and, optimizing job queues.
Experience with HPC or large-scale distributed computing environments and technologies such as high-speed low-latency interconnects (e.g. InifiniBand), parallel file systems (e.g. Lustre), and virtualization environments and tools (e.g. VMWare).
Experience developing Python/bash/Perl scripts and employing automation frameworks such as Ansible.
General knowledge employing Docker containers and Kubernetes ecosystems.
Working knowledge in one or more programming languages (e.g. C/C++, Fortran, etc.)
Must be able and willing to travel to northern Virginia approximately 25% of the time
Clearance Requirements:
This position requires an active Top Secret DoD security clearance (U.S. Citizenship Required)
Compensation:
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements. The general salary range for this position is $129,800 - $$216,700.00/; however, final compensation will be determined by individual qualifications and applicable contract terms.
Company DescriptionSabre Systems provides advanced engineering, systems integration, and technical solutions that enable the Department of Defense and other federal agencies to strengthen mission capabilities and operational efficiency. Our teams deliver comprehensive support across high performance computing (HPC), cloud infrastructure, data storage, and systems administration, ensuring the seamless operation of complex, secure, and scalable environments.
We combine deep technical expertise with a mission driven focus to design, implement, and sustain innovative solutions that power critical research, analysis, and engineering initiatives. From optimizing HPC clusters and managing large scale data environments to deploying containerized systems and maintaining secure Linux infrastructures, Sabre’s engineers play a vital role in advancing technology across federal programs.
We’re hiring immediately to fill several technical roles. Visit www.sabresystems.com/careers
to learn more and apply.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:04pm - 4:05pm CST
LocationHall 6
United States of America
Sabre Systems
In-person
Full Time
Monday, 17 November 2025 4:05pm-4:05pm Hall 6
HPC Data Storage Engineer (ID 2025-4432)
·
Sabre Systems
·
Dallas, TX
Hide Details
SessionJob Postings
Descriptionob title: HPC Data Storage Engineer
Sabre is seeking an HPC Data Storage Engineer to support a mission-critical Department of Defense (DoD) program dedicated to high-performance computing operations. In this role, you will be responsible for managing and optimizing data storage systems that underpin large-scale HPC clusters and networking infrastructure. Your contributions will directly enable advanced data-intensive research efforts that are essential to national defense
Duties include but not limited to:
Manage where data is stored
Capacity planning and management, performance management, metrics reporting, storage quotas, policy enforcement, hardware management and tuning
Interface with HPC users to identify potential performance improvement strategies
Remotely assist a counterpart located at an alternate site as needed
Location: The selected candidate will be required to work onsite in Dallas, TX
Sabre is seeking an HPC Data Storage Engineer to support a mission-critical Department of Defense (DoD) program dedicated to high-performance computing operations. In this role, you will be responsible for managing and optimizing data storage systems that underpin large-scale HPC clusters and networking infrastructure. Your contributions will directly enable advanced data-intensive research efforts that are essential to national defense
Duties include but not limited to:
Manage where data is stored
Capacity planning and management, performance management, metrics reporting, storage quotas, policy enforcement, hardware management and tuning
Interface with HPC users to identify potential performance improvement strategies
Remotely assist a counterpart located at an alternate site as needed
Location: The selected candidate will be required to work onsite in Dallas, TX
RequirementsJob Requirements:
Bachelor's in Computer Science, Computer Engineering or related field and three or more years of job related experience
Demonstrated knowledge monitoring and administering parallel filesystems such as Lustre, BeeGFS, GPFS, etc.
Experience deploying and administering data storage systems (SAN, NAS, tape archives).
Demonstrated knowledge of building, configuring, and administering production Linux computer/storage systems.
Practical experience scripting in Bash, Perl, Python, or similar languages.
Experience deploying and managing SAN infrastructure.
Working knowledge of networking concepts and practices.
Knowledge of or experience with hardware and software security practices.
Certifications: DoD 8570 IAT II/III and Red Hat Computing Environment (RHCSA)
Clearance Requirements:
This position requires an active Top Secret DoD security clearance (U.S. Citizenship Required)
Compensation:
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements. The general salary range for this position is $90,000 - $200,000; however, final compensation will be determined by individual qualifications and applicable contract terms.
Company DescriptionSabre Systems provides advanced engineering, systems integration, and technical solutions that enable the Department of Defense and other federal agencies to strengthen mission capabilities and operational efficiency. Our teams deliver comprehensive support across high performance computing (HPC), cloud infrastructure, data storage, and systems administration, ensuring the seamless operation of complex, secure, and scalable environments.
We combine deep technical expertise with a mission driven focus to design, implement, and sustain innovative solutions that power critical research, analysis, and engineering initiatives. From optimizing HPC clusters and managing large scale data environments to deploying containerized systems and maintaining secure Linux infrastructures, Sabre’s engineers play a vital role in advancing technology across federal programs.
We’re hiring immediately to fill several technical roles. Visit www.sabresystems.com/careers
to learn more and apply.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:05pm - 4:05pm CST
LocationHall 6
United States of America
Sabre Systems
In-person
Full Time
Kubernetes Engineer (ID 2025-4438)
·
Sabre Systems
·
Alexandria
Hide Details
SessionJob Postings
DescriptionJob title: Kubernetes Engineer
Sabre is seeking a Kubernetes Engineer who will be responsible for standing up an enclave within a Red Hat environment utilizing Kubernetes for deploying and managing applications. The engineer will build and configure the Kubernetes environment and handle its management and administration throughout its lifecycle. Experience in Red Hat system administration is also required.
Duties include but not limited to:
Design, Management, and Administration of Kubernetes environment
Configure Kubernetes deployments in order to meet relevant STIGs and the JSIG
Manage Red Had Linux systems in a software development or scientific computing environment
Recommend and implement Kubernetes cluster, to include utilization, number of workloads, etc.
Work with users to recommend containerization best practices for their workloads
Assist users in deployment of containerized workloads onto Kubernetes in scalable manners
Deploy support system applications onto Kubernetes like Red Hat IDM
Deploy highly utilized software onto Kubernetes in highly available manners like GitLab, and chat applications like Mattermost
Troubleshoot Kubernetes performance Issues
Develop example Kubernetes deployment packages, as well as container build pipelines
Assist with software selection for Kubernetes and container relevant workloads
Assist with the administration of container artifact management
Recommend and implement best practices for Kubernetes storage utilization.
Location: The selected candidate will be required to work onsite in Arlington, VA
Sabre is seeking a Kubernetes Engineer who will be responsible for standing up an enclave within a Red Hat environment utilizing Kubernetes for deploying and managing applications. The engineer will build and configure the Kubernetes environment and handle its management and administration throughout its lifecycle. Experience in Red Hat system administration is also required.
Duties include but not limited to:
Design, Management, and Administration of Kubernetes environment
Configure Kubernetes deployments in order to meet relevant STIGs and the JSIG
Manage Red Had Linux systems in a software development or scientific computing environment
Recommend and implement Kubernetes cluster, to include utilization, number of workloads, etc.
Work with users to recommend containerization best practices for their workloads
Assist users in deployment of containerized workloads onto Kubernetes in scalable manners
Deploy support system applications onto Kubernetes like Red Hat IDM
Deploy highly utilized software onto Kubernetes in highly available manners like GitLab, and chat applications like Mattermost
Troubleshoot Kubernetes performance Issues
Develop example Kubernetes deployment packages, as well as container build pipelines
Assist with software selection for Kubernetes and container relevant workloads
Assist with the administration of container artifact management
Recommend and implement best practices for Kubernetes storage utilization.
Location: The selected candidate will be required to work onsite in Arlington, VA
RequirementsJob Requirements:
Minimum of 2 years in deploying and managing Kubernetes environment.
Experience (technical skills) is more critical.
Kubernetes and Cloud Native Associate (KCNA) Certification
Solid Linux background
Familiarization with Ansible, PostgreSQL, Scripting (BASH, Python, or Perl)
Certified Kubernetes Administrator (CKA) is highly desired but not required
CompTIA Linux+, Red Hat Certified System Administrator (RHCSA) is a plus
Clearance Requirements:
This position requires an active Top Secret DoD security clearance (U.S. Citizenship Required)
Compensation:
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements. The general salary range for this position is $91,600 - $153,000; however, final compensation will be determined by individual qualifications and applicable contract terms.
Company DescriptionSabre Systems provides advanced engineering, systems integration, and technical solutions that enable the Department of Defense and other federal agencies to strengthen mission capabilities and operational efficiency. Our teams deliver comprehensive support across high performance computing (HPC), cloud infrastructure, data storage, and systems administration, ensuring the seamless operation of complex, secure, and scalable environments.
We combine deep technical expertise with a mission driven focus to design, implement, and sustain innovative solutions that power critical research, analysis, and engineering initiatives. From optimizing HPC clusters and managing large scale data environments to deploying containerized systems and maintaining secure Linux infrastructures, Sabre’s engineers play a vital role in advancing technology across federal programs.
We’re hiring immediately to fill several technical roles. Visit www.sabresystems.com/careers
to learn more and apply.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:05pm - 4:05pm CST
LocationHall 6
United States of America
Sabre Systems
In-person
Full Time
Monday, 17 November 2025 4:05pm-4:06pm Hall 6
Manufacturing Engineer
·
nVent
·
Anoka, MN
Hide Details
SessionJob Postings
DescriptionWHAT YOU WILL EXPERIENCE IN THIS POSITION:
• Act as a project leader to develop a complete project plan including resources, costs, benefits and schedule; assume full responsibility for all aspects of the project to ensure it meets goals and schedule; communicate project status to partners as appropriate; and follow up to ensure project results are sustained.
• Work with operators, team leaders and value stream planners to optimize process center layouts and designs incorporating material flow and line balancing.
• Use lean tools, interpersonal skills and leadership abilities to lead and facilitate kaizen activities encouraging multi-functional groups to participate and meet common goals.
• Give to the development of the annual business unit plan based on value stream maps, metric deployment and management system assessment to drive waste reduction while improving employee safety.
• Lead and support capital expenditure requests and implementations using basic cost justification and business management principles. Projects could include capital equipment justification and capital equipment expenditure requests.
YOU HAVE:
• Bachelor of Science degree in Engineering or related degree.
• 5+ years of experience in manufacturing preferred.
• Experience in a manufacturing environment with one or more of the following systems: SolidWorks, AutoCAD, MS Office, ERP (JD Edwards preferred), PLM (Enovia preferred).
• Experience working with Automation Equipment preferred.
• Act as a project leader to develop a complete project plan including resources, costs, benefits and schedule; assume full responsibility for all aspects of the project to ensure it meets goals and schedule; communicate project status to partners as appropriate; and follow up to ensure project results are sustained.
• Work with operators, team leaders and value stream planners to optimize process center layouts and designs incorporating material flow and line balancing.
• Use lean tools, interpersonal skills and leadership abilities to lead and facilitate kaizen activities encouraging multi-functional groups to participate and meet common goals.
• Give to the development of the annual business unit plan based on value stream maps, metric deployment and management system assessment to drive waste reduction while improving employee safety.
• Lead and support capital expenditure requests and implementations using basic cost justification and business management principles. Projects could include capital equipment justification and capital equipment expenditure requests.
YOU HAVE:
• Bachelor of Science degree in Engineering or related degree.
• 5+ years of experience in manufacturing preferred.
• Experience in a manufacturing environment with one or more of the following systems: SolidWorks, AutoCAD, MS Office, ERP (JD Edwards preferred), PLM (Enovia preferred).
• Experience working with Automation Equipment preferred.
Company DescriptionnVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:05pm - 4:06pm CST
LocationHall 6
United States of America
nVent
In-person
Full Time
Monday, 17 November 2025 4:06pm-4:06pm Hall 6
Data Science Intern
·
Hewlett Packard Enterprise (HPE)
·
Spring, TX
Hide Details
SessionJob Postings
DescriptionThis role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
Job Description:
This requestion may be classified as on desk or hybrid depending on location and role.
Job Family Definition:
Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
• Participates in the analysis and validation of data sets/solutions/user experience.
• Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
• Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
• Supports the research, identification and delivery of data science solutions to problems.
• Supports visualization of the model's insights, user experience and configuration tools for the analytics model.
Job Description:
This requestion may be classified as on desk or hybrid depending on location and role.
Job Family Definition:
Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
• Participates in the analysis and validation of data sets/solutions/user experience.
• Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
• Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
• Supports the research, identification and delivery of data science solutions to problems.
• Supports visualization of the model's insights, user experience and configuration tools for the analytics model.
RequirementsIntern Education & Experience Required:
Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field.
Knowledge and Skills:
• Basic knowledge of data science methodologies.
• Basic understanding of business requirements and data science objectives.
• Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python).
• Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
• Basic communication and presentation skills.
• Basic data knowledge of relevant data programming languages.
• Basic knowledge of data visualization techniques.
Company DescriptionWho We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-10-29
Event Type
Job Posting
TimeMonday, 17 November 20254:06pm - 4:06pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
In-person
Full Time
HPC Engineer (ID 2025-4434)
·
Sabre Systems
·
Arlington, VA
Hide Details
SessionJob Postings
DescriptionJob title: HPC Engineer
Sabre is seeking an HPC Data Storage Engineer to support a mission-critical Department of Defense (DoD) program dedicated to high-performance computing operations. As an HPC Engineer, you will design, optimize, and maintain advanced high-performance computing environments that power large-scale data processing, simulation, and research operation. Your contributions will directly enable advanced data-intensive research efforts that are essential to national defense
Duties include but not limited to:
Apply comprehensive knowledge of High Performance Computing (HPC) systems, comprised of high-speed, multi-petabyte Lustre file systems, Red Hat Enterprise Linux (RHEL) servers, CPU/GPU compute nodes, and high performance storage arrays, using Ethernet, fiber, Omni-Path, and InfiniBand interconnections.
Provide functional and technical expertise in support of user-developed software and technical advice and leadership to other technical staff
Utilize a wide variety of skills in system and network monitoring; large-scale systems administration; scripting and automation; security compliance; network distributed services; storage and backups; and hardware and software problem diagnosis and resolution.
Diagnose and troubleshoot technical problems, often of a complex nature, associated with computer hardware and software interrelationships and dependencies.
Conduct needs analysis, planning, and scheduling the installation of a wide variety of new or modified hardware/software.
Develop functional and technical IT system requirements and specifications. Configure and optimize system tools and applications, to include job schedulers (Slurm and PBSPro) and system resources (GitLab, LUA/TCL modules, and system support applications).
Create and brief technical presentations to technical and non-technical stakeholders. Maintain detailed documentation of system configurations, procedures, and troubleshooting guides. Develop user facing documentation.
Location: The selected candidate will be required to work onsite in Arlington, VA
Sabre is seeking an HPC Data Storage Engineer to support a mission-critical Department of Defense (DoD) program dedicated to high-performance computing operations. As an HPC Engineer, you will design, optimize, and maintain advanced high-performance computing environments that power large-scale data processing, simulation, and research operation. Your contributions will directly enable advanced data-intensive research efforts that are essential to national defense
Duties include but not limited to:
Apply comprehensive knowledge of High Performance Computing (HPC) systems, comprised of high-speed, multi-petabyte Lustre file systems, Red Hat Enterprise Linux (RHEL) servers, CPU/GPU compute nodes, and high performance storage arrays, using Ethernet, fiber, Omni-Path, and InfiniBand interconnections.
Provide functional and technical expertise in support of user-developed software and technical advice and leadership to other technical staff
Utilize a wide variety of skills in system and network monitoring; large-scale systems administration; scripting and automation; security compliance; network distributed services; storage and backups; and hardware and software problem diagnosis and resolution.
Diagnose and troubleshoot technical problems, often of a complex nature, associated with computer hardware and software interrelationships and dependencies.
Conduct needs analysis, planning, and scheduling the installation of a wide variety of new or modified hardware/software.
Develop functional and technical IT system requirements and specifications. Configure and optimize system tools and applications, to include job schedulers (Slurm and PBSPro) and system resources (GitLab, LUA/TCL modules, and system support applications).
Create and brief technical presentations to technical and non-technical stakeholders. Maintain detailed documentation of system configurations, procedures, and troubleshooting guides. Develop user facing documentation.
Location: The selected candidate will be required to work onsite in Arlington, VA
RequirementsJob Requirements:
Bachelor's in Computer Engineering, Computer Science, or related field and ten or more years of job related experience.
Thorough knowledge of complex concepts, practices, and troubleshooting associated with HPC cluster systems design, installation, and maintenance.
Advanced knowledge in distributed computing theory, parallel processing, applications, and associated infrastructure is required.
Extensive experience with Linux/Unix systems including installation, configuration, networking, backups, updates and patching, data archiving, and system security.
Functional knowledge of HPC middleware, and platform managers such as Bright Cluster Manager; employing job schedulers such as PBS, Slurm, Torque, etc.; and, optimizing job queues.
Experience with HPC or large-scale distributed computing environments and technologies such as high-speed low-latency interconnects (e.g. InifiniBand), parallel file systems (e.g. Lustre), and virtualization environments and tools (e.g. VMWare).
Experience developing Python/bash/Perl scripts and employing automation frameworks such as Ansible.
General knowledge employing Docker containers and Kubernetes ecosystems.
Working knowledge in one or more programming languages (e.g. C/C++, Fortran, etc.)
Clearance Requirements:
This position requires an active Top Secret DoD security clearance (U.S. Citizenship Required)
Compensation:
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements. The general salary range for this position is $129,800 - $$216,700.00/; however, final compensation will be determined by individual qualifications and applicable contract terms.
Company DescriptionSabre Systems provides advanced engineering, systems integration, and technical solutions that enable the Department of Defense and other federal agencies to strengthen mission capabilities and operational efficiency. Our teams deliver comprehensive support across high performance computing (HPC), cloud infrastructure, data storage, and systems administration, ensuring the seamless operation of complex, secure, and scalable environments.
We combine deep technical expertise with a mission driven focus to design, implement, and sustain innovative solutions that power critical research, analysis, and engineering initiatives. From optimizing HPC clusters and managing large scale data environments to deploying containerized systems and maintaining secure Linux infrastructures, Sabre’s engineers play a vital role in advancing technology across federal programs.
We’re hiring immediately to fill several technical roles. Visit www.sabresystems.com/careers
to learn more and apply.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:06pm - 4:06pm CST
LocationHall 6
United States of America
Sabre Systems
In-person
Full Time
Configurator Specialist
·
nVent
·
Raleigh, NC, St Louis, MO, Anoka, MN, Warwick, RI
Hide Details
SessionJob Postings
Description**This role can be located in Anoka, MN, Warwick, RI, Raleigh, NC, or St. Louis, MO**
We are seeking a detail-oriented Product Configurator Specialist to support the development, implementation and maintenance of system configuration tools that enable accurate, rules-based product selections for our sales and engineering teams with our data solutions products. In this role you will have a strong foundation in computer science or programmatic thinking, with working knowledge of mechanical and electrical systems.
This role involves analyzing product structures, options, and dependencies to create robust configuration logic. You will build and/or coordinate with third parties to optimize configurator tools using Python, Excel, and SQL, ensuring compatibility across system options and accessories. You will also bridge technical design with user-friendly configuration tools to streamline product customization and ensure accurate order processing.
IN THIS ROLE YOU WILL BE RESPONSIBLE FOR:
• Develop and maintain product configurator logic to ensure valid system configurations.
• Translate product rules, constraints, and BOM logic into programmatic models.
• Work closely with product management, engineering, field application specialists and sales to capture configuration requirements.
• Maintain clean, structured data sets to support configuration integrity and performance.
• Assist with data integration between configuration tools and backend systems (e.g., ERP, PLM).
YOU HAVE:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in product configuration, ERP systems, or technical product management.
• Proficient in Python, SQL, and Excel (including advanced functions/macros).
• Experience in HVAC or data center industry preferred.
• Understanding of mechanical and electrical system components.
• Strong analytical and systems-thinking skills.
• Experience with data modeling or rule-based configuration systems is a plus.
We are seeking a detail-oriented Product Configurator Specialist to support the development, implementation and maintenance of system configuration tools that enable accurate, rules-based product selections for our sales and engineering teams with our data solutions products. In this role you will have a strong foundation in computer science or programmatic thinking, with working knowledge of mechanical and electrical systems.
This role involves analyzing product structures, options, and dependencies to create robust configuration logic. You will build and/or coordinate with third parties to optimize configurator tools using Python, Excel, and SQL, ensuring compatibility across system options and accessories. You will also bridge technical design with user-friendly configuration tools to streamline product customization and ensure accurate order processing.
IN THIS ROLE YOU WILL BE RESPONSIBLE FOR:
• Develop and maintain product configurator logic to ensure valid system configurations.
• Translate product rules, constraints, and BOM logic into programmatic models.
• Work closely with product management, engineering, field application specialists and sales to capture configuration requirements.
• Maintain clean, structured data sets to support configuration integrity and performance.
• Assist with data integration between configuration tools and backend systems (e.g., ERP, PLM).
YOU HAVE:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in product configuration, ERP systems, or technical product management.
• Proficient in Python, SQL, and Excel (including advanced functions/macros).
• Experience in HVAC or data center industry preferred.
• Understanding of mechanical and electrical system components.
• Strong analytical and systems-thinking skills.
• Experience with data modeling or rule-based configuration systems is a plus.
Company DescriptionnVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:06pm - 4:06pm CST
LocationHall 6
United States of America
nVent
In-person
Full Time
Monday, 17 November 2025 4:06pm-4:07pm Hall 6
CAD Engineering Manager
·
nVent
·
Anoka, MN
Hide Details
SessionJob Postings
DescriptionWe're seeking a hardworking, people-focused, and process-oriented CAD Engineering Manager to join our team in Anoka, Minnesota. In this role, you'll be at the heart of our leadership efforts, while enhancing design methodologies and ensuring excellence. This is an opportunity to elevate your strong strategic development, technical leadership, and project management skills within a fast-paced manufacturing environment where you can drive results.
We are open to outside of Minnesota candidates for this position - US Based. Potential relocation package available.
WHAT YOU WILL EXPERIENCE IN THIS POSITION:
• Leadership and Management: Lead and manage the CAD Design team, offering support and technical expertise. You'll be responsible for interviewing, hiring, and onboarding new talent.
• Resource Coordination: Efficiently allocate resources across projects, coordinate with various functions to set priorities, and identify future staffing needs.
• Professional Development: Conduct regular one-on-one meetings to support professional growth, provide performance appraisals, and develop training materials.
YOU HAVE:
• Educational and Professional Expertise: A Bachelor’s degree in Mechanical Engineering or a related field, alongside 7+ years of experience leading CAD Designer teams.
• Technical Proficiency: Demonstrated expertise in project management, SolidWorks 3D modeling, and familiarity with tools like DFMEA/DFM.
• Communication and Collaboration: Strong communication skills to collaborate effectively across functions.
We are open to outside of Minnesota candidates for this position - US Based. Potential relocation package available.
WHAT YOU WILL EXPERIENCE IN THIS POSITION:
• Leadership and Management: Lead and manage the CAD Design team, offering support and technical expertise. You'll be responsible for interviewing, hiring, and onboarding new talent.
• Resource Coordination: Efficiently allocate resources across projects, coordinate with various functions to set priorities, and identify future staffing needs.
• Professional Development: Conduct regular one-on-one meetings to support professional growth, provide performance appraisals, and develop training materials.
YOU HAVE:
• Educational and Professional Expertise: A Bachelor’s degree in Mechanical Engineering or a related field, alongside 7+ years of experience leading CAD Designer teams.
• Technical Proficiency: Demonstrated expertise in project management, SolidWorks 3D modeling, and familiarity with tools like DFMEA/DFM.
• Communication and Collaboration: Strong communication skills to collaborate effectively across functions.
Company DescriptionnVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:06pm - 4:07pm CST
LocationHall 6
United States of America
nVent
In-person
Full Time
Monday, 17 November 2025 4:07pm-4:07pm Hall 6
Supplier Development Engineer
·
nVent
·
Anoka, MN
Hide Details
SessionJob Postings
DescriptionWHAT YOU WILL EXPERIENCE IN THIS ROLE:
• Engage directly with a broad range of suppliers in multifaceted product categories supporting nVent’s mission to develop safer systems to protect critical customer equipment.
• Lead onsite evaluations of supplier operations from design control to raw materials through production and all supporting activities to delivery.
• Support global sourcing initiatives teaming with sourcing category leaders on supplier assessments, supplier transitions and supplier/product qualification.
• Evaluate and improve supplier capability to support new nVent products and programs.
• Lead supplier performance improvement initiatives, conduct supplier performance evaluations, coordinate supplier scorecards and participate in supplier business reviews.
• Monitor supplier performance to identify high impact areas of opportunity to drive supply base performance.
• Partner with sourcing category leaders to find opportunities for efficiency, improved quality, better lead times, higher delivery performance, and cost reduction.
• Conduct risk analysis and implement actions to mitigate, avoid, etc. and develop recovery plans with critical suppliers to ensure supply chain resilience and rapid recovery when issues occur.
• Assist with the maintenance of our ISO 9001:2015 certified Quality Management System as it relates to Supply Management.
YOU HAVE:
• Bachelor’s degree in Industrial Technology, Engineering, Supply Management, Business, or related field required.
• Ideally 5+ years of proven experience in Supply Management, Supplier Development, Sourcing, Supplier Quality, Quality Engineering or related experience.
• Ability to travel up to 30-40% domestically.
• Engage directly with a broad range of suppliers in multifaceted product categories supporting nVent’s mission to develop safer systems to protect critical customer equipment.
• Lead onsite evaluations of supplier operations from design control to raw materials through production and all supporting activities to delivery.
• Support global sourcing initiatives teaming with sourcing category leaders on supplier assessments, supplier transitions and supplier/product qualification.
• Evaluate and improve supplier capability to support new nVent products and programs.
• Lead supplier performance improvement initiatives, conduct supplier performance evaluations, coordinate supplier scorecards and participate in supplier business reviews.
• Monitor supplier performance to identify high impact areas of opportunity to drive supply base performance.
• Partner with sourcing category leaders to find opportunities for efficiency, improved quality, better lead times, higher delivery performance, and cost reduction.
• Conduct risk analysis and implement actions to mitigate, avoid, etc. and develop recovery plans with critical suppliers to ensure supply chain resilience and rapid recovery when issues occur.
• Assist with the maintenance of our ISO 9001:2015 certified Quality Management System as it relates to Supply Management.
YOU HAVE:
• Bachelor’s degree in Industrial Technology, Engineering, Supply Management, Business, or related field required.
• Ideally 5+ years of proven experience in Supply Management, Supplier Development, Sourcing, Supplier Quality, Quality Engineering or related experience.
• Ability to travel up to 30-40% domestically.
Company DescriptionnVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:07pm - 4:07pm CST
LocationHall 6
United States of America
nVent
In-person
Full Time
Similar Presentations
Principal Electrical Engineer - DC Power
·
nVent
·
Raleigh, NC, Wildwood, MO, Anoka, MN, Tucson, AZ
Hide Details
SessionJob Postings
Description**Location: This role can be located in Anoka, MN / St. Louis, MO / Tucson, AZ or Raleigh, NC**
This role will serve as the technical visionary shaping the next generation of power distribution architectures for hyperscale and AI-driven datacenters. This role will not only ensure technical excellence but also drive innovation in how power is delivered, managed, and scaled. From exploring HVDC adoption to developing connectorized rack power safety solutions, you will pioneer architectures that redefine what’s possible in datacenter energy efficiency and resiliency.
By anticipating the evolving needs of compute platforms and designing innovative solutions, you will play a pivotal role in strengthening nVent’s leadership in intelligent power for AI datacenters—empowering customers to achieve peak performance and sustainability.
WHAT YOU WILL EXPERIENCE IN THIS POSITION:
• Define and architect innovative rack-level power distribution topologies (AC, DC, HVDC).
• Investigate new technologies in solid-state protection, intelligent power switching, and metering, and AI-enabled load balancing.
• Evaluate and integrate breakthrough approaches such as sidecar power shelves, in-rack busbars, and modular busway systems.
• Translate innovative ideas into manufacturable, standards-compliant solutions.
• Guide engineering teams in rapid prototyping and proof-of-concepts to validate new concepts.
• Anticipate industry shifts (AI-scale, 1MW+ racks, OCP-HPR standards) and propose next-gen architectures.
• Partner with market-leading technology vendors (compute, rack, power components) where appropriate to accelerate development and ensure interoperability.
• Represent nVent as a leader with a point of view in customer innovation forums and industry standards bodies.
YOU HAVE:
• Bachelor’s degree in Electrical Engineering or related field required.
• Ideally 10+ years in datacenter, power electronics, or telecom power systems.
• Experience in architecting innovative electrical systems and bringing new concepts to market.
• Strong collaborator with cross-functional teams.
This role will serve as the technical visionary shaping the next generation of power distribution architectures for hyperscale and AI-driven datacenters. This role will not only ensure technical excellence but also drive innovation in how power is delivered, managed, and scaled. From exploring HVDC adoption to developing connectorized rack power safety solutions, you will pioneer architectures that redefine what’s possible in datacenter energy efficiency and resiliency.
By anticipating the evolving needs of compute platforms and designing innovative solutions, you will play a pivotal role in strengthening nVent’s leadership in intelligent power for AI datacenters—empowering customers to achieve peak performance and sustainability.
WHAT YOU WILL EXPERIENCE IN THIS POSITION:
• Define and architect innovative rack-level power distribution topologies (AC, DC, HVDC).
• Investigate new technologies in solid-state protection, intelligent power switching, and metering, and AI-enabled load balancing.
• Evaluate and integrate breakthrough approaches such as sidecar power shelves, in-rack busbars, and modular busway systems.
• Translate innovative ideas into manufacturable, standards-compliant solutions.
• Guide engineering teams in rapid prototyping and proof-of-concepts to validate new concepts.
• Anticipate industry shifts (AI-scale, 1MW+ racks, OCP-HPR standards) and propose next-gen architectures.
• Partner with market-leading technology vendors (compute, rack, power components) where appropriate to accelerate development and ensure interoperability.
• Represent nVent as a leader with a point of view in customer innovation forums and industry standards bodies.
YOU HAVE:
• Bachelor’s degree in Electrical Engineering or related field required.
• Ideally 10+ years in datacenter, power electronics, or telecom power systems.
• Experience in architecting innovative electrical systems and bringing new concepts to market.
• Strong collaborator with cross-functional teams.
Company DescriptionnVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:07pm - 4:07pm CST
LocationHall 6
United States of America
nVent
In-person
Full Time
Monday, 17 November 2025 4:07pm-4:08pm Hall 6
Supply Quality Engineer
·
nVent
·
Anoka, MN
Hide Details
SessionJob Postings
DescriptionWHAT YOU WILL EXPERIENCE IN THIS POSITION:
Supplier Quality Management
• Be the primary liaison between the assigned supply base, program team, production and nVent customers with a key responsibility to resolve supplier quality issues.
• Implement daily supplier management actions to improve supplier quality performance and flag, if necessary.
• Establish supplier engagement & cadence.
• Visit supplier locations. Travel up to 30%.
• Participate in supplier assessments and internal/external audits as needed.
• Coach, mentor and conduct trainings for suppliers as needed.
Problem Solving & Corrective Actions
• Lead RCCA activities for supplier quality problems.
• Issue supplier-corrective actions.
• Evaluate whether corrective actions are thorough and effective
• Evaluate what impact this may have on our overall relationship with the supplier.
• Communicate urgency/severity of concern with suppliers/customer.
• Validate the effectiveness of the actions taken by suppliers.
Process & Product Quality
• Establish strong relationships with the customer, the program team, engineering, supplier partnerships, sourcing and quality department to understand requirements and production risks and develop plans with each supplier to ensure the highest quality without disruption.
• Support APQP and PPAP activities for new product introductions and engineering changes.
• Support suppliers’ process capability studies, FMEA reviews, and control plan validations.
Continuous Improvement
• Leading supplier quality focused improvement activities to drive zero defect mentality.
• Support a collaborative environment with suppliers, operations, quality, program and sourcing teams, and other key functions to cultivate a zero-defect environment.
• Drive supplier development initiatives, including Lean and Six Sigma projects.
• Find opportunities for cost reduction and quality improvement across the supply base.
Compliance & Documentation
• Maintain supplier quality documentation, audit reports, and performance records.
• Ensure compliance with environmental, health, and safety standards where applicable.
YOU HAVE:
• Bachelor’s degree in Metallurgical Engineering, Industrial Engineering, Mechanical Engineering, Manufacturing/Automation Engineering, Chemical Engineering, Materials Engineering.
• Solid understanding of APQP, PPAP, SPC, Process Capability Studies, FMEA, Control Plans, and GD&T.
• Proficient in root cause analysis investigation, (such as RCCA, 8D, and 3L5Y).
• 4+ years in Supplier Quality related functions.
• Quality Certifications (CQE, CMQ, CQA) and ISO 9001:2015 Internal Auditor trained a plus.
• Effective communication at all levels of the organization.
• Ability to coach, mentor and conduct trainings for suppliers.
• Good process management, planning and change-management skills.
• Some knowledge and experience in reliability.
Supplier Quality Management
• Be the primary liaison between the assigned supply base, program team, production and nVent customers with a key responsibility to resolve supplier quality issues.
• Implement daily supplier management actions to improve supplier quality performance and flag, if necessary.
• Establish supplier engagement & cadence.
• Visit supplier locations. Travel up to 30%.
• Participate in supplier assessments and internal/external audits as needed.
• Coach, mentor and conduct trainings for suppliers as needed.
Problem Solving & Corrective Actions
• Lead RCCA activities for supplier quality problems.
• Issue supplier-corrective actions.
• Evaluate whether corrective actions are thorough and effective
• Evaluate what impact this may have on our overall relationship with the supplier.
• Communicate urgency/severity of concern with suppliers/customer.
• Validate the effectiveness of the actions taken by suppliers.
Process & Product Quality
• Establish strong relationships with the customer, the program team, engineering, supplier partnerships, sourcing and quality department to understand requirements and production risks and develop plans with each supplier to ensure the highest quality without disruption.
• Support APQP and PPAP activities for new product introductions and engineering changes.
• Support suppliers’ process capability studies, FMEA reviews, and control plan validations.
Continuous Improvement
• Leading supplier quality focused improvement activities to drive zero defect mentality.
• Support a collaborative environment with suppliers, operations, quality, program and sourcing teams, and other key functions to cultivate a zero-defect environment.
• Drive supplier development initiatives, including Lean and Six Sigma projects.
• Find opportunities for cost reduction and quality improvement across the supply base.
Compliance & Documentation
• Maintain supplier quality documentation, audit reports, and performance records.
• Ensure compliance with environmental, health, and safety standards where applicable.
YOU HAVE:
• Bachelor’s degree in Metallurgical Engineering, Industrial Engineering, Mechanical Engineering, Manufacturing/Automation Engineering, Chemical Engineering, Materials Engineering.
• Solid understanding of APQP, PPAP, SPC, Process Capability Studies, FMEA, Control Plans, and GD&T.
• Proficient in root cause analysis investigation, (such as RCCA, 8D, and 3L5Y).
• 4+ years in Supplier Quality related functions.
• Quality Certifications (CQE, CMQ, CQA) and ISO 9001:2015 Internal Auditor trained a plus.
• Effective communication at all levels of the organization.
• Ability to coach, mentor and conduct trainings for suppliers.
• Good process management, planning and change-management skills.
• Some knowledge and experience in reliability.
Company DescriptionnVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:07pm - 4:08pm CST
LocationHall 6
United States of America
nVent
In-person
Full Time
Monday, 17 November 2025 4:08pm-4:08pm Hall 6
HPC Performance and Validation Engineer
·
NorthMark Compute and Cloud
·
Dallas, Texas
Hide Details
SessionJob Postings
DescriptionThe Position
As an HPC Validation and Performance Engineer at NMC², you will take ownership of the validation and optimization of our HPC CPU and GPU calc farms. This critical role will involve developing a validation and performance baselining framework, which ensures system readiness for AI/ML and HPC workloads across multiple architectures. Your role will be essential in providing continuous performance benchmarking, real-time observability, and long-term strategic readiness. You will drive the implementation of advanced tooling and frameworks, maintaining an infrastructure that is crucial to our cutting-edge research efforts. You will be accountable for providing data driven performance metrics to support architectural design choices as we continue to globally scale our datacenter footprint. We are looking for someone with deep technical expertise in compute, storage or networking optimizations and performance engineering who can develop solutions that scale with our growing infrastructure. This role demands a forward-thinking engineer who can anticipate industry trends and adopt emerging architectures and strategies to keep NMC² at the forefront of innovation.
Responsibilities:
Architecting and implementing a validation framework to certify the readiness and utilization of GPU nodes across a large, distributed HPC environment.
Defining methodologies to continually assess performance and optimising infrastructure across AI/ML workloads
Developing and executing comprehensive performance testing using industry and customer specific benchmarks, ensuring optimal performance across HPC compute, storage and networking
Contribute to research reports that will describe the discoveries of the benchmarking, evaluating the complete HW performance and efficiency
Leading efforts to debug, identify and then resolve bottlenecks in system performance
Building robust, scalable tools for automated validation and testing, utilizing Python, Go, Kubernetes and CI/CD pipelines to streamline continuous validation and benchmarking processes
Implementing monitoring solutions using Prometheus, Grafana and other modern monitoring technologies to track performance metrics and real-time health of the cluster
Defining and implementing best practice for continuous performance validation, ensuring that the infrastructure remains reliable and efficient as new technologies emerge
Staying informed on industry trends and advancements to ensure long-term strategic alignment
Working cross-functionally with engineering, infrastructure and research teams to align validation efforts with the broader business objectives, ensuring that the platform meets evolving research demands
As an HPC Validation and Performance Engineer at NMC², you will take ownership of the validation and optimization of our HPC CPU and GPU calc farms. This critical role will involve developing a validation and performance baselining framework, which ensures system readiness for AI/ML and HPC workloads across multiple architectures. Your role will be essential in providing continuous performance benchmarking, real-time observability, and long-term strategic readiness. You will drive the implementation of advanced tooling and frameworks, maintaining an infrastructure that is crucial to our cutting-edge research efforts. You will be accountable for providing data driven performance metrics to support architectural design choices as we continue to globally scale our datacenter footprint. We are looking for someone with deep technical expertise in compute, storage or networking optimizations and performance engineering who can develop solutions that scale with our growing infrastructure. This role demands a forward-thinking engineer who can anticipate industry trends and adopt emerging architectures and strategies to keep NMC² at the forefront of innovation.
Responsibilities:
Architecting and implementing a validation framework to certify the readiness and utilization of GPU nodes across a large, distributed HPC environment.
Defining methodologies to continually assess performance and optimising infrastructure across AI/ML workloads
Developing and executing comprehensive performance testing using industry and customer specific benchmarks, ensuring optimal performance across HPC compute, storage and networking
Contribute to research reports that will describe the discoveries of the benchmarking, evaluating the complete HW performance and efficiency
Leading efforts to debug, identify and then resolve bottlenecks in system performance
Building robust, scalable tools for automated validation and testing, utilizing Python, Go, Kubernetes and CI/CD pipelines to streamline continuous validation and benchmarking processes
Implementing monitoring solutions using Prometheus, Grafana and other modern monitoring technologies to track performance metrics and real-time health of the cluster
Defining and implementing best practice for continuous performance validation, ensuring that the infrastructure remains reliable and efficient as new technologies emerge
Staying informed on industry trends and advancements to ensure long-term strategic alignment
Working cross-functionally with engineering, infrastructure and research teams to align validation efforts with the broader business objectives, ensuring that the platform meets evolving research demands
RequirementsRequired Skills:
• Accelerator performance experience, including profiling and tuning with large-scale GPU clusters
• In-depth understanding of NVIDIA ClusterKit, Nsight and Validation Suite, MLPerf and DCGM tools for GPU and DPUs
• Networking & Storage performance experience, including profiling and optimisation with NVIDIA ClusterKit, iPerf or equivalent across InfiniBand/RoCe network implementations
• System benchmarking experience across Linux and familiarity with the Phronix suite or equivalent
• Experience with HPC workloads across distributed global locations, bringing data driven performance data to compliment key architectural decisions
• Strong proficiency in developing automation tools and micro benchmarking frameworks for validation using Python, Go, and Kubernetes in a Ubuntu Linux environment
• Expertise with key monitoring platforms including OTEL, Prometheus, ELK and Grafana and in definition and implementing the overall observability strategy for HPC validation and performance monitoring
• A deep understanding of emerging technologies, architectures and strategies, with the ability to assess their potential impact on infrastructure and adopt them as part of a long-term plan
• Proven ability to lead complex technical projects, influence decisions and engage with stakeholders across technical and research teams
Company DescriptionNorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:08pm - 4:08pm CST
LocationHall 6
United States of America
NorthMark Compute and Cloud
In-person
Full Time
HPC Storage Engineer
·
NorthMark Compute and Cloud
·
Dallas, Texas
Hide Details
SessionJob Postings
DescriptionThe Position
The HPC Storage Engineering team manages our high performance scalable storage in excess of 200 petabytes. We are responsible for the design, deployment, and operation of this storage platform, which supports the research workloads of our Researchers, and is therefore a core component of infrastructure.
Working alongside our global team, you will optimize and troubleshoot workflows alongside our Researchers and Software Engineers, Our involvement extends to optimization and troubleshooting of workflows, working with Researchers and Software Engineers daily, as well as our Networks team and external vendors, including DELL, VAST, HPE and, RUBRIK.
Responsibilities:
Design, implement, and manage multi-PB storage systems to support the compute environment.
Implement automated processes and procedures consistent with a strategy of Infrastructure-as-code for a consistent, repeatable storage product.
Leverage experience and expertise across all things storage related to act as an expert for a wide array of projects
Work with customers to streamline workflows for optimal storage usage.
The HPC Storage Engineering team manages our high performance scalable storage in excess of 200 petabytes. We are responsible for the design, deployment, and operation of this storage platform, which supports the research workloads of our Researchers, and is therefore a core component of infrastructure.
Working alongside our global team, you will optimize and troubleshoot workflows alongside our Researchers and Software Engineers, Our involvement extends to optimization and troubleshooting of workflows, working with Researchers and Software Engineers daily, as well as our Networks team and external vendors, including DELL, VAST, HPE and, RUBRIK.
Responsibilities:
Design, implement, and manage multi-PB storage systems to support the compute environment.
Implement automated processes and procedures consistent with a strategy of Infrastructure-as-code for a consistent, repeatable storage product.
Leverage experience and expertise across all things storage related to act as an expert for a wide array of projects
Work with customers to streamline workflows for optimal storage usage.
RequirementsRequirements:
Bachelor's Degree or equivalent experience
Experience deploying and managing high-performance and/or clustered filesystems at scale
Strong working knowledge of the different types of data center storage technologies (file, block, object) and how they differ
Team player that enjoys collaborating with others to deliver supportable storage environments
Experience with scale-out storage architectures such as Vast Data and Isilon/PowerScale
Recent experience working through JIRA tickets
Great problem solving skills, be self-driven, and hard working
A passion for technology and hardware
Python and/or DevOps experience
Company DescriptionNorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:08pm - 4:08pm CST
LocationHall 6
United States of America
NorthMark Compute and Cloud
In-person
Full Time
Senior Network Automation Engineer
·
NorthMark Compute and Cloud
·
Dallas, Texas
Hide Details
SessionJob Postings
DescriptionWe are seeking a Network Automation Engineer to join our Network Automation team, which designs and builds the tools and services that enable automated, scalable, and self-service networking across global infrastructure.
In this role, you will leverage your expertise in networking and software engineering to automate the provisioning, configuration, and observability of complex network environments. You will collaborate closely with network engineers, platform engineers, and security teams to ensure that our networking stack is reliable, secure, and efficient.
This is a hands-on engineering role where you will design and implement automation solutions that support large-scale compute and research workflows, driving innovation in how modern networks are managed.
Key responsibilities
• Design, build, and maintain automation frameworks that simplify network provisioning and lifecycle management
• Develop software in Python and leverage tools such as Ansible, Terraform, and Jinja2 to implement Infrastructure-as-Code practices
• Integrate network automation into CI/CD pipelines, enabling testable, repeatable, and reliable deployments
• Build APIs and tooling to expose networking capabilities as self-service for engineering teams
• Implement observability workflows for network performance, availability, and telemetry using modern monitoring stacks
• Collaborate with Network Engineering, Security, and Platform teams to deliver resilient and scalable automation solutions
• Participate in on-call rotations and incident response, contributing to the reliability of production systems
• Contribute to architectural design discussions, ensuring automation is built for long-term maintainability and scalability
In this role, you will leverage your expertise in networking and software engineering to automate the provisioning, configuration, and observability of complex network environments. You will collaborate closely with network engineers, platform engineers, and security teams to ensure that our networking stack is reliable, secure, and efficient.
This is a hands-on engineering role where you will design and implement automation solutions that support large-scale compute and research workflows, driving innovation in how modern networks are managed.
Key responsibilities
• Design, build, and maintain automation frameworks that simplify network provisioning and lifecycle management
• Develop software in Python and leverage tools such as Ansible, Terraform, and Jinja2 to implement Infrastructure-as-Code practices
• Integrate network automation into CI/CD pipelines, enabling testable, repeatable, and reliable deployments
• Build APIs and tooling to expose networking capabilities as self-service for engineering teams
• Implement observability workflows for network performance, availability, and telemetry using modern monitoring stacks
• Collaborate with Network Engineering, Security, and Platform teams to deliver resilient and scalable automation solutions
• Participate in on-call rotations and incident response, contributing to the reliability of production systems
• Contribute to architectural design discussions, ensuring automation is built for long-term maintainability and scalability
RequirementsWho are we looking for
• Proven experience in software engineering, network engineering, or a hybrid of both, with a focus on automation
• Strong programming skills in Python and familiarity with software engineering practices (testing, version control, CI/CD)
• Solid understanding of computer networking (routing, switching, firewalls, protocols) and network design principles
• Experience with Infrastructure-as-Code and configuration management tools (Ansible, Terraform, Jinja2)
• Familiarity with containerization and orchestration platforms (Docker, Kubernetes)
• Exposure to observability, monitoring, or telemetry systems for distributed infrastructure
• Strong problem-solving skills with the ability to navigate ambiguity and take ownership of projects
• Comfortable working in collaborative, agile engineering teams
Desirable skills and knowledge
• Knowledge of event-driven or message-based architectures (Kafka, RabbitMQ)
• Experience with API design, service integration, or platform engineering
• Familiarity with service discovery, secrets management, or policy-as-code frameworks
• Understanding of large-scale data center networking concepts and technologies (Cisco, Arista, segment routing, multitenant designs)
• Prior contributions to open-source networking or automation projects
Company DescriptionNorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:08pm - 4:08pm CST
LocationHall 6
United States of America
NorthMark Compute and Cloud
In-person
Full Time
Monday, 17 November 2025 4:08pm-4:09pm Hall 6
HPC Kubernetes Engineering Manager
·
NorthMark Compute and Cloud
·
Dallas, Texas
Hide Details
SessionJob Postings
DescriptionThe Position
We are seeking a highly skilled Kubernetes Engineering Manager with a focus on HPC to join our Platform Engineering function in Dallas. Kubernetes underpin all facets of our Research platforms and HPC estate here at NMC². As the HPC Kubernetes Engineering Manager you will take ownership of the strategic roadmap, design and delivery of our Kubernetes platform. In addition, you will focus on continuous optimizations and performance enhancements of our kubernetes platform as Research demands augment. We are looking for a highly experienced technical manager who can lead the significant scaling up our existing compute platforms and who excels working on the bleeding edge of technology; pushing the boundaries of HPC compute performance and providing an innovative approach to solving complex technical challenges that arise. The HPC Kubernetes Engineering Manager will collaborate closely with the Kubernetes Platform Management team to ensure a smooth transition of new engineering capabilities, with a strong focus on operational excellence in all aspects of design and implementation.
Responsibilities:
Strong leadership and strategic vision in the design, deployment and scaling of a high-performance kubernetes platform
Pro-active stakeholder engagement, ensuring the Kubernetes platform supports broader business outcomes and research demands
Confident communication and collaboration, you will help drive cross functional engineering initiatives across the Technology and Research organizations
Vendor Management experience, working closely with our key vendors providing continuous feedback to leverage and influence roadmaps and ensuring efficient and timely deployment, support and maintenance of critical platforms
People leadership, managing and developing engineers and a high performing team across the UK and US
A deep understanding of emerging trends and technologies in the Kubernetes ecosystems, working closely with Architecture and Innovation Teams to appraise and adopt
Ensuring platforms are reliable, highly available and secure, managed with a DevOps mindset and Infrastructure-as-Code toolset
Budget control, capacity forecasting and management
We are seeking a highly skilled Kubernetes Engineering Manager with a focus on HPC to join our Platform Engineering function in Dallas. Kubernetes underpin all facets of our Research platforms and HPC estate here at NMC². As the HPC Kubernetes Engineering Manager you will take ownership of the strategic roadmap, design and delivery of our Kubernetes platform. In addition, you will focus on continuous optimizations and performance enhancements of our kubernetes platform as Research demands augment. We are looking for a highly experienced technical manager who can lead the significant scaling up our existing compute platforms and who excels working on the bleeding edge of technology; pushing the boundaries of HPC compute performance and providing an innovative approach to solving complex technical challenges that arise. The HPC Kubernetes Engineering Manager will collaborate closely with the Kubernetes Platform Management team to ensure a smooth transition of new engineering capabilities, with a strong focus on operational excellence in all aspects of design and implementation.
Responsibilities:
Strong leadership and strategic vision in the design, deployment and scaling of a high-performance kubernetes platform
Pro-active stakeholder engagement, ensuring the Kubernetes platform supports broader business outcomes and research demands
Confident communication and collaboration, you will help drive cross functional engineering initiatives across the Technology and Research organizations
Vendor Management experience, working closely with our key vendors providing continuous feedback to leverage and influence roadmaps and ensuring efficient and timely deployment, support and maintenance of critical platforms
People leadership, managing and developing engineers and a high performing team across the UK and US
A deep understanding of emerging trends and technologies in the Kubernetes ecosystems, working closely with Architecture and Innovation Teams to appraise and adopt
Ensuring platforms are reliable, highly available and secure, managed with a DevOps mindset and Infrastructure-as-Code toolset
Budget control, capacity forecasting and management
RequirementsRequirements:
Bachelor's Degree or equivalent experience
Extensive technical experience with Kubernetes tailored for HPC/ML workloads in a complex distributed environment
Contribute to performance tuning of ML workloads across GPU/CPU clusters - optimizations for workload scheduling, GPU integration, and resource management for distributed training jobs
Experience scaling a high performance kubernetes platforms geographically at scale
Implement and manage multi-tenant compute environments ensuring isolation and performance
Integrate with distributed file systems and high-speed interconnects (e.g., InfiniBand, RoCE)
Ability to collaborate effectively across teams to deliver engineering solutions with a strong emphasis on operational excellence and seamless capability handover
Confident stakeholder management and communication skills, aligning to value driven outcomes
Excellent team leadership, project management skills and promoting a high performance culture
Drive engineering best practices across CI/CD, automation & tooling, configuration management and SRE concepts
A commitment to security by designing and building secure, high-integrity systems
Company DescriptionNorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:08pm - 4:09pm CST
LocationHall 6
United States of America
NorthMark Compute and Cloud
In-person
Full Time
Monday, 17 November 2025 4:09pm-4:09pm Hall 6
Cloud Platform Architect
·
NorthMark Compute and Cloud
·
Dallas, Texas
Hide Details
SessionJob Postings
DescriptionThe Position
The Cloud Platform Architect will define and guide the platform’s hybrid and fit for purpose multi-cloud strategy, ensuring secure, efficient, and scalable access to cloud resources. This role is responsible for designing multi-tenancy models (landing zones, access brokering) and hybrid cloud networking. This role will partner with the Cloud Engineering team to define the service roadmap, and enabling automation and self-service provisioning through Infrastructure as Code (IaC). The architect will streamline cloud provider usage, integrate cloud identity with Active Directory, and ensure cloud security controls are consistently applied. They will also lead capability mapping and gap analysis across organizational units and customer-facing needs.
Responsibilities:
Provide architecture/design guidance for secure, efficient, and scalable cloud access across Fit for FP cloud providers like AWS (primary), Azure, and hybrid environments.
Help enable and curate the Cloud Catalog for the platform consumers; define the developer experience/consumption of the same
Architect multi-tenancy models using landing zones, access brokering, and guardrails to securely isolate multiple customers.
Collaborate with the Cloud Engineering team to define service enablement roadmap (which cloud services to onboard, when, and how).
Rationalize and streamline cloud provider usage, reducing duplication and aligning with enterprise service catalog.
Define and enforce cloud security architecture: IAM, encryption, network segmentation, compliance-by-design.
Architect identity integration between enterprise Active Directory (AD) and cloud identity providers (AWS IAM, Azure AD, SSO).
Drive IaC automation and self-service provisioning using IAC frameworks and Service Catalogs.
Perform capability mapping and gap analysis across organizational units and customer-facing needs to inform roadmap and investments.
Provide cloud cost visibility, governance guardrails, budget actuals vs projections, right-sizing guidance and blueprints for the same
Partner with Security, Platform, and Solution Architects to ensure consistency across cloud/on-prem platforms.
Maintain Architecture Decision Records (ADRs) for cloud platform choices and patterns.
The Cloud Platform Architect will define and guide the platform’s hybrid and fit for purpose multi-cloud strategy, ensuring secure, efficient, and scalable access to cloud resources. This role is responsible for designing multi-tenancy models (landing zones, access brokering) and hybrid cloud networking. This role will partner with the Cloud Engineering team to define the service roadmap, and enabling automation and self-service provisioning through Infrastructure as Code (IaC). The architect will streamline cloud provider usage, integrate cloud identity with Active Directory, and ensure cloud security controls are consistently applied. They will also lead capability mapping and gap analysis across organizational units and customer-facing needs.
Responsibilities:
Provide architecture/design guidance for secure, efficient, and scalable cloud access across Fit for FP cloud providers like AWS (primary), Azure, and hybrid environments.
Help enable and curate the Cloud Catalog for the platform consumers; define the developer experience/consumption of the same
Architect multi-tenancy models using landing zones, access brokering, and guardrails to securely isolate multiple customers.
Collaborate with the Cloud Engineering team to define service enablement roadmap (which cloud services to onboard, when, and how).
Rationalize and streamline cloud provider usage, reducing duplication and aligning with enterprise service catalog.
Define and enforce cloud security architecture: IAM, encryption, network segmentation, compliance-by-design.
Architect identity integration between enterprise Active Directory (AD) and cloud identity providers (AWS IAM, Azure AD, SSO).
Drive IaC automation and self-service provisioning using IAC frameworks and Service Catalogs.
Perform capability mapping and gap analysis across organizational units and customer-facing needs to inform roadmap and investments.
Provide cloud cost visibility, governance guardrails, budget actuals vs projections, right-sizing guidance and blueprints for the same
Partner with Security, Platform, and Solution Architects to ensure consistency across cloud/on-prem platforms.
Maintain Architecture Decision Records (ADRs) for cloud platform choices and patterns.
RequirementsRequirements:
Bachelor's Degree or equivalent experience
Deep expertise in AWS architecture and services (IAM, VPC, EC2, S3, EKS, Organizations, Control Tower).
Working knowledge of Azure (Active Directory, networking, compute, storage, Kubernetes).
Hands-on with multi-tenant cloud designs (landing zones, network segmentation, service control policies).
Experience with Infrastructure as Code (IaC): Terraform, Pulumi, Crossplane, Ansible etc.
Strong understanding of cloud identity and access management, AD/SSO federation, and role-based access models.
Cloud security practices (encryption, least-privilege, compliance frameworks).
Familiarity with cloud cost management and optimization.
Excellent communication/documentation skills for executive and engineering audiences.
Preferred:
10-12+ years in Cloud Architecture, Cloud Engineering and DevOps roles.
Proven design of hybrid/multi-cloud architectures at scale.
Implementation of enterprise landing zones and multi-tenant architectures.
Experience integrating Active Directory with AWS/Azure identity providers.
Familiarity with compliance frameworks & enforcement using automation in cloud environments.
Prior work on service catalogs, capability mapping, and gap analysis to shape enterprise roadmaps.
Experience collaborating with Security, Networking, and Platform Engineering teams.
Prior work with FinOps teams to optimize spend and create governance frameworks.
Company DescriptionNorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:09pm - 4:09pm CST
LocationHall 6
United States of America
NorthMark Compute and Cloud
In-person
Full Time
UX Architect
·
NorthMark Compute and Cloud
·
Dallas, Texas
Hide Details
SessionJob Postings
DescriptionRole Summary
We are looking for an experienced and strategic UX Architect to join our Product team. This role is ideal for someone who wants to remain hands-on as an individual contributor, while also mentoring and less experienced team members.
As a UX Architect, you will be responsible for shaping the user experience across complex technical products and services. You will focus on information architecture, interaction design, and usability, ensuring our solutions are intuitive, accessible, and aligned with user needs. You will also play an advisory role, helping to elevate design practices across the team through mentorship and knowledge sharing.
Responsibilities
• Defining and documenting the overall information architecture and interaction models for our products and services.
• Developing user journeys, wireframes, and prototypes that communicate design concepts clearly.
• Collaborating closely with product managers, engineers, and designers to ensure cohesive and user-centered product design.
• Conducting and supporting user research and usability testing, translating insights into actionable design improvements.
• Establishing and advocating for UX best practices, accessibility standards, and design guidelines.
• Mentoring other team members, providing feedback, guidance, and support in their professional development.
• Contributing to the evolution of design systems and shared design resources.
We are looking for an experienced and strategic UX Architect to join our Product team. This role is ideal for someone who wants to remain hands-on as an individual contributor, while also mentoring and less experienced team members.
As a UX Architect, you will be responsible for shaping the user experience across complex technical products and services. You will focus on information architecture, interaction design, and usability, ensuring our solutions are intuitive, accessible, and aligned with user needs. You will also play an advisory role, helping to elevate design practices across the team through mentorship and knowledge sharing.
Responsibilities
• Defining and documenting the overall information architecture and interaction models for our products and services.
• Developing user journeys, wireframes, and prototypes that communicate design concepts clearly.
• Collaborating closely with product managers, engineers, and designers to ensure cohesive and user-centered product design.
• Conducting and supporting user research and usability testing, translating insights into actionable design improvements.
• Establishing and advocating for UX best practices, accessibility standards, and design guidelines.
• Mentoring other team members, providing feedback, guidance, and support in their professional development.
• Contributing to the evolution of design systems and shared design resources.
RequirementsRequired Skills
· Proficiency in design and prototyping tools (e.g., Figma, Sketch, Axure, InVision).
· Solid understanding of user research methods and their application to product design.
· Strong communication skills, with the ability to present and justify design decisions to stakeholders.
· Knowledge of accessibility standards (WCAG) and responsive design principles.
Preferred Experience
· 5+ years in UX architecture, UX design, or a similar senior-level design role.
· Strong portfolio demonstrating expertise in information architecture, interaction design, and complex workflows.
· Experience mentoring or advising junior team members, with a collaborative and supportive approach.
Company DescriptionNorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:09pm - 4:09pm CST
LocationHall 6
United States of America
NorthMark Compute and Cloud
In-person
Full Time
Monday, 17 November 2025 4:09pm-4:10pm Hall 6
HPC Data Center Solutions Architect
·
NorthMark Compute and Cloud
·
Dallas, Texas
Hide Details
SessionJob Postings
DescriptionRole Summary
We are seeking an experienced Solutions Architect to drive the design and delivery of scalable, resilient solutions within new data center halls. This role will bridge customer requirements, technology platforms, and infrastructure reference architectures to ensure the white space design aligns with business demand, HPC workloads, and emerging technology trends.
The ideal candidate will act as the glue between product, infrastructure, and operations teams, translating technical and business needs into integrated solutions that scale.
Responsibilities
• Own solution-level design and alignment across compute, storage, networking, and facilities systems within new data center builds.
• Partner with product teams, HPC customers, and operations to translate workload requirements into scalable data center white space solutions.
• Define reference architectures that incorporate compute/GPU density, storage ratios, and network integration strategies.
• Collaborate with infrastructure architects, digital architects, and network architects to deliver holistic designs.
• Create solution roadmaps that segment delivery into implementable phases while meeting near-term demand.
• Support proof-of-concept efforts and performance baseline testing to validate solution viability.
• Ensure designs meet compliance, resiliency, and sustainability requirements.
• Act as the customer-facing technical partner for complex solution discussions.
We are seeking an experienced Solutions Architect to drive the design and delivery of scalable, resilient solutions within new data center halls. This role will bridge customer requirements, technology platforms, and infrastructure reference architectures to ensure the white space design aligns with business demand, HPC workloads, and emerging technology trends.
The ideal candidate will act as the glue between product, infrastructure, and operations teams, translating technical and business needs into integrated solutions that scale.
Responsibilities
• Own solution-level design and alignment across compute, storage, networking, and facilities systems within new data center builds.
• Partner with product teams, HPC customers, and operations to translate workload requirements into scalable data center white space solutions.
• Define reference architectures that incorporate compute/GPU density, storage ratios, and network integration strategies.
• Collaborate with infrastructure architects, digital architects, and network architects to deliver holistic designs.
• Create solution roadmaps that segment delivery into implementable phases while meeting near-term demand.
• Support proof-of-concept efforts and performance baseline testing to validate solution viability.
• Ensure designs meet compliance, resiliency, and sustainability requirements.
• Act as the customer-facing technical partner for complex solution discussions.
RequirementsRequired Skills
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8+ years of experience in solution architecture, systems architecture, or large-scale infrastructure design.
• Strong background in HPC, cloud, or large-scale enterprise data center environments.
• Expertise in integrating compute, storage, and networking into cohesive solutions.
• Strong communication and cross-functional leadership skills.
• Experience with hyperscale or GPU-accelerated environments, supporting AI/ML workloads, infrastructure monitoring, or simulation models.
• Strong communicator with leadership and project management experience.
Company DescriptionNorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:09pm - 4:10pm CST
LocationHall 6
United States of America
NorthMark Compute and Cloud
In-person
Full Time
Monday, 17 November 2025 4:10pm-4:10pm Hall 6
HPC Kubernetes Engineer
·
NorthMark Compute and Cloud
·
Dallas, Texas
Hide Details
SessionJob Postings
DescriptionThe Position
We are seeking a highly skilled Senior Kubernetes Engineer to join our HPC and Infrastructure function in Dallas. In this role, you will design, implement, and optimize GPU-accelerated container platforms at scale, enabling high-performance workloads (AI/ML, HPC, LLM training) across hybrid or on-prem environments. You will have deep expertise with both NVIDIA and Kubernetes ecosystems, including GPU scheduling, device plugins and custom operators.
Responsibilities:
Architecting and operating Kubernetes clusters optimised for GPU workloads, leveraging NVIDIA GPU Operator, Network Operator and DCGM
Developing, deploying and maintaining custom Kubernetes operators and controllers to automate infrastructure services
Integrating NVIDIA device plugins, Multi-Instance GPU (MIG) and GPU sharing features into the scheduling layer
Optimizing GPU utilization and job placement through scheduler extensions, such as kube-scheduler plugins, Slurm and Volcano
Collaborating with HPC, ML and DevOps teams to ensure multi-tenant, high-throughput cluster performance
Driving observability and telemetry integrations using Prometheus, Grafana, DCGM Exporter and OpenTelemetry
Implementing secure multi-user and multi-namespace GPU isolation, with RBAC and policy enforcement, such as OPA or Gatekeeper
Maintaining CI/CD pipelines for Kubernetes infrastructure using GitOps, ArgoCD and FluxCD
Contributing to infrastructure-as-code, using Terraform, Helm, and Kustomize
Participating in performance tuning, incident response and production readiness reviews
We are seeking a highly skilled Senior Kubernetes Engineer to join our HPC and Infrastructure function in Dallas. In this role, you will design, implement, and optimize GPU-accelerated container platforms at scale, enabling high-performance workloads (AI/ML, HPC, LLM training) across hybrid or on-prem environments. You will have deep expertise with both NVIDIA and Kubernetes ecosystems, including GPU scheduling, device plugins and custom operators.
Responsibilities:
Architecting and operating Kubernetes clusters optimised for GPU workloads, leveraging NVIDIA GPU Operator, Network Operator and DCGM
Developing, deploying and maintaining custom Kubernetes operators and controllers to automate infrastructure services
Integrating NVIDIA device plugins, Multi-Instance GPU (MIG) and GPU sharing features into the scheduling layer
Optimizing GPU utilization and job placement through scheduler extensions, such as kube-scheduler plugins, Slurm and Volcano
Collaborating with HPC, ML and DevOps teams to ensure multi-tenant, high-throughput cluster performance
Driving observability and telemetry integrations using Prometheus, Grafana, DCGM Exporter and OpenTelemetry
Implementing secure multi-user and multi-namespace GPU isolation, with RBAC and policy enforcement, such as OPA or Gatekeeper
Maintaining CI/CD pipelines for Kubernetes infrastructure using GitOps, ArgoCD and FluxCD
Contributing to infrastructure-as-code, using Terraform, Helm, and Kustomize
Participating in performance tuning, incident response and production readiness reviews
RequirementsRequirements:
Bachelor's Degree or equivalent experience
Extensive experience with Kubernetes in production-grade environments and working with NVIDIA and Kubernetes, including GPU Operator, device plugin, NVML, MIG and DCGM
Proficiency in Go or Python for operator development and Kubernetes controller logic
Deep understanding of Kubernetes internals, including CRDs, RBAC, custom controllers and scheduler extensions
Experience with GPU-intensive workloads, for example for LLMs, training pipelines and scientific computing
Hands-on experience with Helm, Kustomize and GitOps workflows
Familiarity with CNI plugins, especially NVIDIA CNI and Multus
Experience with monitoring GPU metrics and cluster health using Prometheus and DCGM Exporter
The following is beneficial:
Knowledge of container runtimes with CRI-O, containerd and NVIDIA Container Toolkit
Contributions to open-source projects in the Kubernetes or NVIDIA ecosystem
Preferred experience working with cilium or CNI plugins
Company DescriptionNorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:10pm - 4:10pm CST
LocationHall 6
United States of America
NorthMark Compute and Cloud
In-person
Full Time
HPC Scheduling Software Engineer
·
NorthMark Compute and Cloud
·
Dallas, Texas
Hide Details
SessionJob Postings
DescriptionThe role
The Calc Farm Platform Services team develops and manages a large high-performance compute (HPC) platform to enable the business to conduct complex research at scale. We are seeking a highly motivated person to join our team to help us continue to push the envelope running batch workloads on Kubernetes.
The ideal candidate will have an active interest in Kubernetes and batch computing, a broad range of experience with software engineering and development, as well as experience managing large-scale infrastructure and complex tooling environments.
The main focus will be on Armada - an exciting open source CNCF project built and maintained by the team - which we use to solve multi-cluster Kubernetes batch job scheduling at scale.
You’ll join an experienced team, working at the cutting-edge of ML workloads and at scale.
Key responsibilities of the role include:
• Designing and developing high-quality software solutions using procedural programming languages, with a focus on Golang
• Building and maintaining highly scalable, highly available and globally distributed systems to support large-scale research workloads
• Managing and optimizing data interactions across relational and non-relational databases, particularly PostgreSQL
• Developing and operating containerized applications within Kubernetes, ensuring effective orchestration and workload scheduling
• Supporting, tuning and troubleshooting Linux-based systems as part of our core compute platform
• Applying core networking knowledge to help debug, optimize and enhance platform connectivity and performance
• Independently diagnosing and resolving complex technical issues across infrastructure and software layers
• Applying solid software architecture principles, computer science fundamentals and data structure knowledge to guide design decisions and code quality
• Driving continuous improvement by contributing to CI/CD pipelines and engineering best practices
• Staying up to date with emerging technologies and approaches, and applying new knowledge across disciplines
The Calc Farm Platform Services team develops and manages a large high-performance compute (HPC) platform to enable the business to conduct complex research at scale. We are seeking a highly motivated person to join our team to help us continue to push the envelope running batch workloads on Kubernetes.
The ideal candidate will have an active interest in Kubernetes and batch computing, a broad range of experience with software engineering and development, as well as experience managing large-scale infrastructure and complex tooling environments.
The main focus will be on Armada - an exciting open source CNCF project built and maintained by the team - which we use to solve multi-cluster Kubernetes batch job scheduling at scale.
You’ll join an experienced team, working at the cutting-edge of ML workloads and at scale.
Key responsibilities of the role include:
• Designing and developing high-quality software solutions using procedural programming languages, with a focus on Golang
• Building and maintaining highly scalable, highly available and globally distributed systems to support large-scale research workloads
• Managing and optimizing data interactions across relational and non-relational databases, particularly PostgreSQL
• Developing and operating containerized applications within Kubernetes, ensuring effective orchestration and workload scheduling
• Supporting, tuning and troubleshooting Linux-based systems as part of our core compute platform
• Applying core networking knowledge to help debug, optimize and enhance platform connectivity and performance
• Independently diagnosing and resolving complex technical issues across infrastructure and software layers
• Applying solid software architecture principles, computer science fundamentals and data structure knowledge to guide design decisions and code quality
• Driving continuous improvement by contributing to CI/CD pipelines and engineering best practices
• Staying up to date with emerging technologies and approaches, and applying new knowledge across disciplines
RequirementsThe ideal candidate will have the following skills and experience:
• Experience with developing Kubernetes components, such as controllers and operators
• Experience with event-driven programming and message queues, such as apache Kafka and Pulsar
• Experience of high-performance computing, Kubernetes, or DAG (Directed Acyclic Graph) workflows
• Experience of running systems at scale using a cloud provider, ideally AWS
• Use of operational and runtime tools and practices, including monitoring and logging with systems such as Prometheus and Grafana
• Experience of operating or using job scheduling systems, such as SLURM
Company DescriptionNorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:10pm - 4:10pm CST
LocationHall 6
United States of America
NorthMark Compute and Cloud
In-person
Full Time
Monday, 17 November 2025 4:10pm-4:11pm Hall 6
HPC Solutions Architecture Manager
·
NorthMark Compute and Cloud
·
Dallas, Texas
Hide Details
SessionJob Postings
DescriptionRole Summary:
As the Manager of HPC Solutions Architecture, you will oversee a team of domain-specialist architects spanning compute, storage, security, Kubernetes, networking, and systems integration. This team engages directly with customers to design and deliver high-performance computing (HPC) solutions that are secure, scalable, resilient, and optimized for workload-specific needs.
You will guide your team through the entire customer lifecycle — from early engagement and requirements discovery, through solution design, proof-of-concepts, and deployment, to ongoing optimization and adoption. Your role will ensure that customers achieve measurable value at every stage while maintaining the flexibility to scale as their workloads evolve.
In addition to managing delivery, you will serve as a trusted advisor and strategic partner, building strong customer relationships and ensuring architectures align with both technical priorities and business objectives. You will also collaborate closely with product and engineering teams, turning field insights into reference architectures, reusable design patterns, and platform enhancements that strengthen the overall ecosystem.
This role offers the opportunity to shape the strategic direction of HPC solutions, influence product innovation, and establish best practices that drive customer success, platform scalability, and architectural excellence.
Responsibilities:
• Lead, mentor, and develop a high-performing team of Solutions Architects across compute, storage, Kubernetes, networking, security, and systems integration
• Act as the strategic link between customers, your team, and engineering, ensuring alignment between customer outcomes and platform evolution.
• Build and maintain trusted advisor relationships with customers, enabling them to maximize the value of HPC architectures.
• Oversee the creation of reference architectures and design blueprints to ensure repeatable, scalable solutions.
• Guide proof-of-concept initiatives, validating solution performance and accelerating customer confidence in adoption.
• Conduct technical design reviews and workload assessments, identifying opportunities to improve efficiency, resilience, and cost-effectiveness.
• Recommend strategic design choices across compute, storage, networking, data pipelines, and security to align with customer-specific workloads.
• Act as a trusted partner to product and engineering, providing field insights that shape platform roadmaps and features.
• Encourage prototyping of new architectural approaches for emerging HPC and AI/ML workloads, translating innovation into production-ready solutions.
• Ensure the team maintains high-quality documentation, reusable patterns, and best practices for consistent delivery.
• Stay current with emerging technologies (GPUs, accelerators, interconnects, distributed storage, orchestration frameworks) and guide clients in adoption.
• Represent the organization at client workshops, technical deep-dives, and industry events, occasionally requiring travel.
• Champion a culture of customer success, technical excellence, and continuous improvement across the Solutions Architecture team.
As the Manager of HPC Solutions Architecture, you will oversee a team of domain-specialist architects spanning compute, storage, security, Kubernetes, networking, and systems integration. This team engages directly with customers to design and deliver high-performance computing (HPC) solutions that are secure, scalable, resilient, and optimized for workload-specific needs.
You will guide your team through the entire customer lifecycle — from early engagement and requirements discovery, through solution design, proof-of-concepts, and deployment, to ongoing optimization and adoption. Your role will ensure that customers achieve measurable value at every stage while maintaining the flexibility to scale as their workloads evolve.
In addition to managing delivery, you will serve as a trusted advisor and strategic partner, building strong customer relationships and ensuring architectures align with both technical priorities and business objectives. You will also collaborate closely with product and engineering teams, turning field insights into reference architectures, reusable design patterns, and platform enhancements that strengthen the overall ecosystem.
This role offers the opportunity to shape the strategic direction of HPC solutions, influence product innovation, and establish best practices that drive customer success, platform scalability, and architectural excellence.
Responsibilities:
• Lead, mentor, and develop a high-performing team of Solutions Architects across compute, storage, Kubernetes, networking, security, and systems integration
• Act as the strategic link between customers, your team, and engineering, ensuring alignment between customer outcomes and platform evolution.
• Build and maintain trusted advisor relationships with customers, enabling them to maximize the value of HPC architectures.
• Oversee the creation of reference architectures and design blueprints to ensure repeatable, scalable solutions.
• Guide proof-of-concept initiatives, validating solution performance and accelerating customer confidence in adoption.
• Conduct technical design reviews and workload assessments, identifying opportunities to improve efficiency, resilience, and cost-effectiveness.
• Recommend strategic design choices across compute, storage, networking, data pipelines, and security to align with customer-specific workloads.
• Act as a trusted partner to product and engineering, providing field insights that shape platform roadmaps and features.
• Encourage prototyping of new architectural approaches for emerging HPC and AI/ML workloads, translating innovation into production-ready solutions.
• Ensure the team maintains high-quality documentation, reusable patterns, and best practices for consistent delivery.
• Stay current with emerging technologies (GPUs, accelerators, interconnects, distributed storage, orchestration frameworks) and guide clients in adoption.
• Represent the organization at client workshops, technical deep-dives, and industry events, occasionally requiring travel.
• Champion a culture of customer success, technical excellence, and continuous improvement across the Solutions Architecture team.
RequirementsRequired Skills:
• 10+ years of experience in HPC, Solutions Architecture, or large-scale systems design.
• 3+ years of technical team leadership (managing architects/engineers across domains).
• Proven leadership experience managing multi-disciplinary architecture or engineering teams within HPC, cloud, or large-scale distributed systems.
• Strong architectural expertise across compute, storage, networking, Kubernetes, and security, with the ability to integrate domains into cohesive solutions.
• Hands-on understanding of HPC technologies, including GPU acceleration (CUDA, NVIDIA ecosystem), workload schedulers (Armada, Slurm, Kubernetes), and distributed storage (VAST, Lustre, GPFS, object stores).
• Experience designing secure and compliant architectures, covering identity management, encryption, and regulatory frameworks.
• Proven success in customer-facing communication and engagement, with the ability to capture detailed technical requirements and translate them into tailored, scalable HPC system designs.
• Skilled at articulating complex solutions across AI/ML, scientific computing, simulation, and data-intensive workloads to both technical stakeholders and executive audiences.
• Proven track record of driving solution adoption and enabling measurable customer success.
Preferred Experience:
• Experience delivering or supporting HPC or AI/ML workloads at scale, with a focus on performance, optimization, and lifecycle management.
• Familiarity with data and analytics platforms (Kafka, Spark, or similar) integrated with HPC workflows.
• Knowledge of automation and DevOps practices, including CI/CD (GitLab, Jenkins) and infrastructure-as-code (Terraform, Ansible).
• Background in customer-facing engagements, such as leading workshops, technical reviews, or industry presentations.
• Awareness of emerging compute technologies (next-gen GPUs, interconnects like InfiniBand/RDMA, and container runtimes for HPC).
• Advanced degree in Computer Science, Engineering, Physics, or related technical field.
• Relevant certifications such as AWS Solutions Architect, Azure Solutions Architect Expert, GCP Professional Cloud Architect, Cisco CCNP, Red Hat RHCE, Certified Kubernetes Administrator (CKA), or Certified Kubernetes Security Specialist (CKS).
Company DescriptionNorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:10pm - 4:11pm CST
LocationHall 6
United States of America
NorthMark Compute and Cloud
In-person
Full Time
Monday, 17 November 2025 4:11pm-4:11pm Hall 6
R&D Engineering Program Manager - Data Solutions
·
nVent
·
Anoka, MN
Hide Details
SessionJob Postings
DescriptionThe R&D Engineering Program Manager – Data Solutions is a high-impact individual contributor role responsible for leading the execution and governance of multiple concurrent New Product Introduction (NPI) programs across the nVent Systems Protection segment. This role serves as the program owner, ensuring cross-functional alignment, risk mitigation, and successful product launches that drive business growth.
While this role does not have direct reports, it requires strong cross-functional leadership to align product management, engineering, operations, and executive stakeholders. The Program Manager will establish and drive program governance, optimize resource allocation, and ensure execution excellence at a program level, balancing priorities across multiple product development initiatives.
KEY RESPONSIBILITIES:
Program Strategy & Execution:
• Lead multiple concurrent NPI programs, ensuring alignment with business goals and delivering on time, within budget, and to quality standards.
• Drive program governance, execution frameworks, and risk mitigation to optimize efficiency, decision-making, and product launch success.
Cross-Functional Leadership & Stakeholder Engagement:
• Act as the primary accountability leader, influencing cross-functional teams and executives to drive alignment and resolve execution challenges.
• Provide executive-level updates, risk assessments, and trade-off recommendations to ensure visibility and stakeholder engagement.
Program Standardization & Best Practices:
• Develop and implement standardized methodologies, governance models, and execution frameworks to enhance consistency and scalability.
• Ensure adherence to stage-gate processes, quality assurance, and risk management strategies to mitigate delays and execution risks.
Risk Management & Resource Optimization:
• Identify and proactively mitigate risks, ensuring contingency plans are in place to maintain schedule and budget targets.
• Optimize resource allocation across programs, balancing personnel, budget, and capacity constraints to improve delivery efficiency.
Performance Monitoring & Business Impact:
• Track Key Performance Indicators for schedule adherence, budget performance, cost efficiency, and commercialization readiness, holding teams accountable for results.
• Use data-driven insights and dashboards to align program execution with business and market strategies, driving continuous improvement.
YOU HAVE:
• Bachelor’s degree in Engineering, or a related technical field (PMP, PgMP, or equivalent certification preferred).
• Ideally 12+ years of experience in program/project management, with a strong focus on NPI or complex product development programs.
• Proven track record to lead multiple concurrent projects and drive program-level execution across cross-functional teams.
• Strong expertise in stage-gate processes, program governance, and risk management.
• Experience implementing and scaling PMO methodologies, tools, and standard processes.
• Exceptional stakeholder management, executive communication, and decision-making abilities.
• Experience leading program budgets, aligning program execution with business objectives, and optimizing resource allocation.
• Willingness to travel up to 20% for collaboration and program execution.
While this role does not have direct reports, it requires strong cross-functional leadership to align product management, engineering, operations, and executive stakeholders. The Program Manager will establish and drive program governance, optimize resource allocation, and ensure execution excellence at a program level, balancing priorities across multiple product development initiatives.
KEY RESPONSIBILITIES:
Program Strategy & Execution:
• Lead multiple concurrent NPI programs, ensuring alignment with business goals and delivering on time, within budget, and to quality standards.
• Drive program governance, execution frameworks, and risk mitigation to optimize efficiency, decision-making, and product launch success.
Cross-Functional Leadership & Stakeholder Engagement:
• Act as the primary accountability leader, influencing cross-functional teams and executives to drive alignment and resolve execution challenges.
• Provide executive-level updates, risk assessments, and trade-off recommendations to ensure visibility and stakeholder engagement.
Program Standardization & Best Practices:
• Develop and implement standardized methodologies, governance models, and execution frameworks to enhance consistency and scalability.
• Ensure adherence to stage-gate processes, quality assurance, and risk management strategies to mitigate delays and execution risks.
Risk Management & Resource Optimization:
• Identify and proactively mitigate risks, ensuring contingency plans are in place to maintain schedule and budget targets.
• Optimize resource allocation across programs, balancing personnel, budget, and capacity constraints to improve delivery efficiency.
Performance Monitoring & Business Impact:
• Track Key Performance Indicators for schedule adherence, budget performance, cost efficiency, and commercialization readiness, holding teams accountable for results.
• Use data-driven insights and dashboards to align program execution with business and market strategies, driving continuous improvement.
YOU HAVE:
• Bachelor’s degree in Engineering, or a related technical field (PMP, PgMP, or equivalent certification preferred).
• Ideally 12+ years of experience in program/project management, with a strong focus on NPI or complex product development programs.
• Proven track record to lead multiple concurrent projects and drive program-level execution across cross-functional teams.
• Strong expertise in stage-gate processes, program governance, and risk management.
• Experience implementing and scaling PMO methodologies, tools, and standard processes.
• Exceptional stakeholder management, executive communication, and decision-making abilities.
• Experience leading program budgets, aligning program execution with business objectives, and optimizing resource allocation.
• Willingness to travel up to 20% for collaboration and program execution.
Company DescriptionnVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:11pm - 4:11pm CST
LocationHall 6
United States of America
nVent
In-person
Full Time
Executive Director, High Performance & Research Computing
·
Mississippi State University
·
Starkville, MS
Hide Details
SessionJob Postings
Descriptionhe Executive Director of High Performance and Research Computing provides vision, leadership, and oversight for Mississippi State University’s high performance computing and research computing resources and services. This position directs strategic investments in HPC technologies, ensures compliance with federal and institutional requirements, and manages staff supporting HPC and enterprise research computing infrastructure for MSU. The Executive Director serves as the primary institutional liaison with federal agencies and partners for HPC-related grants, contracts, and collaborations, including NOAA, USDA, NSF, DoD, and other sponsoring organizations. The Executive Director also serves as the primary point of contact for MSU’s high performance computing data center, overseeing strategic and operational decisions for the facility. The role requires balancing long-term strategic planning with operational excellence to support MSU’s research mission and government partnerships.
RequirementsEssential Duties and Responsibilities:
1. Provides leadership and operational oversight for HPC and institutional research computing services and support.
2. Direct strategic decisions regarding the deployment, investment, and growth of high performance computing infrastructure and research computing activities in alignment with institutional priorities and federal research needs.
3. Serve as the primary liaison for high performance computing efforts with federal government partners and agencies, ensuring compliance with contracts, timely communication, and effective collaboration.
4. Assist in the development of budgets for proposals supporting high performance computing infrastructure and operations, provide strategic input on spending decisions, and collaborate with the Research Business and Operations Center on federally sponsored projects.
5. Lead the preparation and submission of proposals for extramural funding, including federal, state, and industry opportunities, to expand and sustain high performance computing resources and capabilities.
6. Establish technical strategies for computing, networking, storage, backup, disaster recovery, and cybersecurity to ensure reliable and secure operations.
7. Serve as the primary point of contact for MSU’s high performance computing data center, providing leadership for strategic planning, operations (maintenance, monitoring, power, cooling, and systems integrity), and decision-making related to the facility.
8. Lead compliance efforts with government regulations, audits, and reporting requirements to maintain eligibility for federal contracts.
9. Build and sustain partnerships with federal agencies, industry collaborators, and academic institutions to advance MSU’s high performance computing mission.
10. Direct the recruitment, development, and supervision of high performance computing staff, setting expectations and fostering a high-performance culture, while representing MSU’s HPC enterprise nationally through conferences, advisory boards, and sponsor engagements.
Minimum Qualifications:
• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related field.
• Ten or more years of experience directly related to HPC or enterprise IT operations.
• Demonstrated ability to lead technical teams and manage complex computing environments.
• Experience working with or on federally sponsored research contracts or cooperative agreements.
• Must be a U.S. Citizen or Permanent Resident; eligibility to obtain federal security clearance required.
Preferred Qualifications:
• Master’s degree in Computer Science, Computer Engineering, or a closely related field.
• Proven success in securing and managing federal contracts in HPC or advanced computing.
• Broad technical expertise across computing, networking, storage, and cybersecurity.
• Strong skills in leadership, negotiation, and communication with government sponsors.
Knowledge, Skills, and Abilities:
• Demonstrated ability to lead technical teams and manage complex computing environments.
• Experience working with or on federally sponsored research contracts or cooperative agreements.
Company DescriptionMississippi State University is a doctoral degree-granting, land-grant university offering a wide range of educational experiences for learning and growth to a student body of more than 23,000 students. Among the National Science Foundation’s Top 100 research universities, MSU provides access and opportunity to students from all 50 states and 92 countries. MSU is committed to its comprehensive research university mission, addressing complex local and global challenges with innovative ideas and solutions.
The MSU High Performance Computing Collaboratory (HPC²), an evolution of the MSU NSF Engineering Research Center (ERC) for Computational Field Simulation, at Mississippi State University is a coalition of member institutes and centers that share a common core objective of advancing the state-of-the-art in computational science and engineering using high performance computing; a common approach to research that embraces a multi-disciplinary, team-oriented concept; and a commitment to a full partnership between education, research, and service. The mission of the HPC² is to serve the University, State, and Nation through excellence in computational science and engineering.
·
·
2025-10-30
Event Type
Job Posting
TimeMonday, 17 November 20254:11pm - 4:11pm CST
LocationHall 6
United States of America
Mississippi State University
In-person
Full Time
HPC Storage Engineer
·
Hudson River Trading
·
New York, NY, Chicago, IL or Austin, TX (Hybrid)
Hide Details
SessionJob Postings
DescriptionThe R&D team at Hudson River Trading (HRT) builds and maintains the computers, networks, data storage, operating systems, and software that allow our trading strategies and research environment to operate worldwide 24/7. The team manages over 100 petabytes of storage to facilitate industry-leading AI/ML-based trading.
We are seeking an experienced Storage Engineer who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced environment. In this role, you will manage our existing storage infrastructure and be responsible for the design, automation, and management of future storage solutions to support our large-scale research environment. This is an exciting opportunity to join a small team focused on HPC storage and help set the direction for storage solutions at HRT. You’ll have plenty of freedom to research, propose, and test new hardware and software to improve the performance and usability of our research environment.
Responsibilities
- Design and manage a variety of storage solutions
- Research and experiment with new storage solutions
- Troubleshoot complex storage, OS, and networking issues
- Build tools to improve the performance and monitoring of storage clusters
We are seeking an experienced Storage Engineer who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced environment. In this role, you will manage our existing storage infrastructure and be responsible for the design, automation, and management of future storage solutions to support our large-scale research environment. This is an exciting opportunity to join a small team focused on HPC storage and help set the direction for storage solutions at HRT. You’ll have plenty of freedom to research, propose, and test new hardware and software to improve the performance and usability of our research environment.
Responsibilities
- Design and manage a variety of storage solutions
- Research and experiment with new storage solutions
- Troubleshoot complex storage, OS, and networking issues
- Build tools to improve the performance and monitoring of storage clusters
Requirements* Knowledge of distributed file systems used for large-scale cluster computing (Lustre, CephFS, GPFS, etc.) *
Ability to design a home grown NAS storage solution with redundancy and high availability *
5+ years of experience in HPC-like environments with large scale storage deployments greater than 1PB *
3+ years of experience with scale-out enterprise storage solutions such as Isilon, VAST, NetApp, and Pure *
Extensive experience with Linux troubleshooting and NFS *
Strong knowledge of Linux software RAID, ZFS, and other Linux filesystems *
Proficient in Python and shell scripting *
Strong cross-functional communication skills *
Ability to analyze and solve problems quickly in a fast-paced environment *
Exceptional time management skills and the ability to balance independent and collaborative * workflows *
Eager to learn and apply new skills
Company DescriptionHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:11pm - 4:11pm CST
LocationHall 6
United States of America
Hudson River Trading
In-person
Remote
Full Time
Monday, 17 November 2025 4:11pm-4:12pm Hall 6
Computer Specialist I, II, III, or Senior (Linux Operating Systems)
·
Mississippi State University
·
Starkville, MS
Hide Details
SessionJob Postings
DescriptionPosition Function:
As a Computer Specialist I, II, III, or Senior, you will play a crucial role in optimizing and managing our high-performance computing infrastructure and supporting network to support complex scientific, engineering, and research applications at the Mississippi State University (MSU) High Performance Computing Collaboratory (HPC2). Must be a U.S. Citizen or Permanent Resident.
Area of Specialization:
Linux Operating Systems
Essential Duties and Responsibilities:
1. Install, configure, and manage Linux operating systems on physical and virtual servers and desktops and HPC clusters.
2. Plan and implement system upgrades, migrations, life cycle management, and change management processes
3. Create, manage, and support virtual machines (VMs) and containers based on business needs.
4. Monitor and optimize system performance, including resource allocation, load balancing, and recommend hardware/software upgrades.
5. Perform monitoring and troubleshooting of system hardware, software, and operating systems to maintain systems and preserve data integrity.
6. Provide user and system support, education, and training including coordination with computing staff for integrating services such as file systems, printing, and other system resources.
7. Implement and maintain security best practices across the computing environments.
8. Develops and maintains the software infrastructure for the HPC environment, including user interfaces, utility scripts, and software stacks.
9. Develop and maintain automated processes for system management.
10. Maintain comprehensive documentation of system configurations, processes, and procedures.
11. Stay current with industry trends and technologies related to systems administration, virtualization, and HPC technologies.
12. Manage, train, and provide operational oversight to junior-level system administrators; collaborate with cross-functional IT teams to ensure seamless integration of systems and services.
13. Perform duties as assigned in a responsible manner.
As a Computer Specialist I, II, III, or Senior, you will play a crucial role in optimizing and managing our high-performance computing infrastructure and supporting network to support complex scientific, engineering, and research applications at the Mississippi State University (MSU) High Performance Computing Collaboratory (HPC2). Must be a U.S. Citizen or Permanent Resident.
Area of Specialization:
Linux Operating Systems
Essential Duties and Responsibilities:
1. Install, configure, and manage Linux operating systems on physical and virtual servers and desktops and HPC clusters.
2. Plan and implement system upgrades, migrations, life cycle management, and change management processes
3. Create, manage, and support virtual machines (VMs) and containers based on business needs.
4. Monitor and optimize system performance, including resource allocation, load balancing, and recommend hardware/software upgrades.
5. Perform monitoring and troubleshooting of system hardware, software, and operating systems to maintain systems and preserve data integrity.
6. Provide user and system support, education, and training including coordination with computing staff for integrating services such as file systems, printing, and other system resources.
7. Implement and maintain security best practices across the computing environments.
8. Develops and maintains the software infrastructure for the HPC environment, including user interfaces, utility scripts, and software stacks.
9. Develop and maintain automated processes for system management.
10. Maintain comprehensive documentation of system configurations, processes, and procedures.
11. Stay current with industry trends and technologies related to systems administration, virtualization, and HPC technologies.
12. Manage, train, and provide operational oversight to junior-level system administrators; collaborate with cross-functional IT teams to ensure seamless integration of systems and services.
13. Perform duties as assigned in a responsible manner.
RequirementsMinimum Qualifications:
Level I Bachelor’s degree in Computer Science, Engineering, or a related field.
Level II Bachelor’s degree in Computer Science, Engineering, or related field plus 4 years of experience directly related to the duties and responsibilities specified.
Level III Bachelor’s degree in Computer Science, Engineering, or related field plus 8 years of experience directly related to the duties and responsibilities specified.
Senior Bachelor’s degree in Computer Science, Engineering, or related field plus 10 years of experience directly related to the duties and responsibilities specified.
Promotions are based off years of service as well as knowledge, skills, abilities, and performance.
Substitution allowed: Any equivalent combination of education and experience will be considered with HR Approval.
Preferred Qualifications:
• Proficient with UNIX-like operating systems (UNIX/Linux), including experience as a system administrator for virtual and physical environments and HPC Clusters.
• Working knowledge of networking technologies and services such as TCP/IP, DNS, DHCP, PXE, VLANS, Radius, Proxies, etc.
• Familiar with HPC networking architectures such as Infiniband and Ethernet RoCE
• Experience with HPC job scheduling technologies, such as Slurm, PBS Pro, and Moab
• Experience with parallel file systems such as Lustre and other storage technologies.
• Experience with MPI or parallel and distributed computing libraries and codes.
• Experience with HPC node provisioning and automation tools such as Puppet, Warewulf, Ansible, etc.
• Experience managing SSL certificates,
• Experience with virtualization platforms and tools such as KVM, Proxmox, Podman, Apptainer, or similar technologies.
• Experience with authentication infrastructures such as LDAP, Kerberos, or FreeIPA
• Understanding and experience with cybersecurity principles, tools, and practices, including knowledge of NIST 800-53, NIST 800-171, or CMMC Security Controls.
• Relevant certifications in information technology or cybersecurity.
• Proficiency in one or more programming/scripting languages such as C, C++, Java, Perl, Python, PHP, or Shell scripting.
Knowledge, Skills, and Abilities:
• Strong written and oral communication skills.
• Demonstrated ability to understand and document software business rules and requirements using diagrams, written use cases, and user stories.
• Strong analytical and technical skills with an attention for detail and accuracy.
• Strong organization skills and the ability to self-direct efforts to complete planning and documentation requirements.
• Strong problem-solving skills
• Self-motivated and directed, with the ability to work both independently and in a team-oriented, collaborative environment.
Company DescriptionMississippi State University is a doctoral degree-granting, land-grant university offering a wide range of educational experiences for learning and growth to a student body of more than 23,000 students. Among the National Science Foundation’s Top 100 research universities, MSU provides access and opportunity to students from all 50 states and 92 countries. MSU is committed to its comprehensive research university mission, addressing complex local and global challenges with innovative ideas and solutions.
The MSU High Performance Computing Collaboratory (HPC²), an evolution of the MSU NSF Engineering Research Center (ERC) for Computational Field Simulation, at Mississippi State University is a coalition of member institutes and centers that share a common core objective of advancing the state-of-the-art in computational science and engineering using high performance computing; a common approach to research that embraces a multi-disciplinary, team-oriented concept; and a commitment to a full partnership between education, research, and service. The mission of the HPC² is to serve the University, State, and Nation through excellence in computational science and engineering.
·
·
2025-10-30
Event Type
Job Posting
TimeMonday, 17 November 20254:11pm - 4:12pm CST
LocationHall 6
United States of America
Mississippi State University
In-person
Full Time
Monday, 17 November 2025 4:12pm-4:12pm Hall 6
Computer Specialist I, II, III, or Senior (Windows Operating Systems)
·
Mississippi State University
·
Starkville, MS
Hide Details
SessionJob Postings
DescriptionPosition Function:
As a Computer Specialist I, II, III, or Senior, you will play a crucial role in optimizing and managing our high-performance computing infrastructure and supporting network to support complex scientific, engineering, and research applications at the Mississippi State University (MSU) High Performance Computing Collaboratory (HPC2).
Area of Specialization:
Windows Operating Systems
Essential Duties and Responsibilities:
1. Install, configure, and manage Windows operating systems on physical and virtual servers and desktops.
2. Upgrades, migrations, life cycle management, and change management processes
3. Create, manage, and support virtual machines (VMs) and virtual desktop infrastructure based on business needs.
4. Monitor and optimize system performance, including resource allocation, load balancing, and recommend hardware/software upgrades.
5. Perform basic troubleshooting of hardware, software, and operating systems, escalating complex issues to appropriate technical staff as needed.
6. Provide user and system support, including coordination with computing staff for integrating services such as file systems, printing, and other system resources.
7. Implement and maintain security best practices across the computing environments.
8. Package software and schedule automated, remote deployments.
9. Maintain comprehensive documentation of system configurations, processes, and procedures.
10. Stay current with industry trends and technologies related to systems administration and virtualization.
11. Manage, train, and provide operational oversight to junior-level system administrators; collaborate with cross-functional IT teams to ensure seamless integration of systems and services.
12. Perform other duties as assigned.
Supervisory Responsibility: This position will occasionally lead small teams and assist in training, developing and evaluation of lower-level computer specialists. This position provides hands-on maintenance of advance research computing infrastructure to support researchers.
As a Computer Specialist I, II, III, or Senior, you will play a crucial role in optimizing and managing our high-performance computing infrastructure and supporting network to support complex scientific, engineering, and research applications at the Mississippi State University (MSU) High Performance Computing Collaboratory (HPC2).
Area of Specialization:
Windows Operating Systems
Essential Duties and Responsibilities:
1. Install, configure, and manage Windows operating systems on physical and virtual servers and desktops.
2. Upgrades, migrations, life cycle management, and change management processes
3. Create, manage, and support virtual machines (VMs) and virtual desktop infrastructure based on business needs.
4. Monitor and optimize system performance, including resource allocation, load balancing, and recommend hardware/software upgrades.
5. Perform basic troubleshooting of hardware, software, and operating systems, escalating complex issues to appropriate technical staff as needed.
6. Provide user and system support, including coordination with computing staff for integrating services such as file systems, printing, and other system resources.
7. Implement and maintain security best practices across the computing environments.
8. Package software and schedule automated, remote deployments.
9. Maintain comprehensive documentation of system configurations, processes, and procedures.
10. Stay current with industry trends and technologies related to systems administration and virtualization.
11. Manage, train, and provide operational oversight to junior-level system administrators; collaborate with cross-functional IT teams to ensure seamless integration of systems and services.
12. Perform other duties as assigned.
Supervisory Responsibility: This position will occasionally lead small teams and assist in training, developing and evaluation of lower-level computer specialists. This position provides hands-on maintenance of advance research computing infrastructure to support researchers.
RequirementsMinimum Qualifications:
Minimum Required Education and Experience
Level I Bachelor’s degree in Computer Science, Engineering, or a related field.
Level II Bachelor’s degree in Computer Science, Engineering, or related field plus 4 years of experience directly related to the duties and responsibilities specified.
Level III Bachelor’s degree in Computer Science, Engineering, or related field plus 8 years of experience directly related to the duties and responsibilities specified.
Senior Bachelor’s degree in Computer Science, Engineering, or related field plus 10 years of experience directly related to the duties and responsibilities specified.
Promotions are based off years of service as well as knowledge, skills, abilities, and performance
Substitution allowed: Any equivalent combination of education and experience will be considered with HR Approval.
Preferred Qualifications:
• Proficiency with Windows operating systems, including experience as a system administrator for virtual and physical environments.
• Working knowledge of networking technologies and services such as TCP/IP, DNS, DHCP, PXE, VLANS, Radius, Proxies, etc.
• Experience with system end-point management tools and platforms, such as SCCM, KACE, Altiris, Cisco Secure Endpoint, Deep Freeze, and backup solutions.
• Experience with Active Directory configuration, group policy management, and site replication.
• Experience managing SSL certificates,
• Experience with virtualization platforms and tools such as VMware vSphere, Microsoft Remote Desktop, Hyper-V, Citrix Virtual Desktop, or similar technologies.
• Understanding and experience with cybersecurity principles, tools, and practices, including knowledge of NIST 800-53, NIST 800-171, or CMMC Security Controls.
• Relevant certifications in information technology or cybersecurity.
• Proficiency in one or more programming/scripting languages such as C, C++, Java, Perl, Python, PHP, Shell scripting, Power Shell, or SQL queries.
Knowledge, Skills, and Abilities:
• Strong written and oral communication skills.
• Demonstrated ability to understand and document software business rules and requirements using diagrams, written use cases, and user stories.
• Strong analytical and technical skills with an attention for detail and accuracy.
• Strong organization skills and the ability to self-direct efforts to complete planning and documentation requirements.
• Strong problem-solving skills
• Self-motivated and directed, with the ability to work both independently and in a team-oriented, collaborative environment.
Company DescriptionMississippi State University is a doctoral degree-granting, land-grant university offering a wide range of educational experiences for learning and growth to a student body of more than 23,000 students. Among the National Science Foundation’s Top 100 research universities, MSU provides access and opportunity to students from all 50 states and 92 countries. MSU is committed to its comprehensive research university mission, addressing complex local and global challenges with innovative ideas and solutions.
The MSU High Performance Computing Collaboratory (HPC²), an evolution of the MSU NSF Engineering Research Center (ERC) for Computational Field Simulation, at Mississippi State University is a coalition of member institutes and centers that share a common core objective of advancing the state-of-the-art in computational science and engineering using high performance computing; a common approach to research that embraces a multi-disciplinary, team-oriented concept; and a commitment to a full partnership between education, research, and service. The mission of the HPC² is to serve the University, State, and Nation through excellence in computational science and engineering.
·
·
2025-10-30
Event Type
Job Posting
TimeMonday, 17 November 20254:12pm - 4:12pm CST
LocationHall 6
United States of America
Mississippi State University
In-person
Full Time
Data Science Graduate
·
Hewlett Packard Enterprise (HPE)
·
Spring, TX
Hide Details
SessionJob Postings
DescriptionThis requestion may be classified as on desk or hybrid depending on location and role.
Job Family Definition:
Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data
into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
• Participates in the analysis and validation of data sets/solutions/user experience.
• Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
• Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
• Supports the research, identification and delivery of data science solutions to problems.
• Supports visualization of the model's insights, user experience and configuration tools for the analytics model.
Job Family Definition:
Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data
into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
• Participates in the analysis and validation of data sets/solutions/user experience.
• Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
• Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
• Supports the research, identification and delivery of data science solutions to problems.
• Supports visualization of the model's insights, user experience and configuration tools for the analytics model.
RequirementsEducation and Experience Required:
· Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent.
· Typically 0-2 years experience.
Knowledge and Skills:
• Basic knowledge of data science methodologies.
• Basic understanding of business requirements and data science objectives.
• Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python).
• Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
• Basic communication and presentation skills.
• Basic data knowledge of relevant data programming languages.
• Basic knowledge of data visualization techniques.
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-10-31
Event Type
Job Posting
TimeMonday, 17 November 20254:12pm - 4:12pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
In-person
Full Time
Monday, 17 November 2025 4:12pm-4:13pm Hall 6
Cloud Engineer Graduate
·
Hewlett Packard Enterprise (HPE)
·
Spring, TX
Hide Details
SessionJob Postings
DescriptionThis requestion may be classified as on desk or hybrid depending on location and role.
Job Family Definition:
The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements. The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
Responsibilities:
• Collaborate with cross-functional teams to design, develop, and implement cloud solutions tailored to meet business needs.
• Assist in the deployment and configuration of cloud infrastructure, platforms, and services. Contribute to the optimization and automation of the cloud deployment processes to improve efficiency and scalability.
• Perform testing and troubleshooting of cloud systems to ensure reliability, performance, and security.
• Stay up to date with industry trends and best practices in cloud computing to provide insights and recommendations for continuous improvement.
• Support ongoing cloud operations and provide technical assistance as needed.
Job Family Definition:
The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements. The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
Responsibilities:
• Collaborate with cross-functional teams to design, develop, and implement cloud solutions tailored to meet business needs.
• Assist in the deployment and configuration of cloud infrastructure, platforms, and services. Contribute to the optimization and automation of the cloud deployment processes to improve efficiency and scalability.
• Perform testing and troubleshooting of cloud systems to ensure reliability, performance, and security.
• Stay up to date with industry trends and best practices in cloud computing to provide insights and recommendations for continuous improvement.
• Support ongoing cloud operations and provide technical assistance as needed.
RequirementsGrad Education and Experience Required:
· Bachelor´s degree in Statistics, Operations Research, Computer Science or equivalent.
· Typically 0-2 years experience.
Knowledge & Skills:
• Knowledge of at least one programming language like C, C++, python, JavaScript, Java or associated libraries, web-sockets, and other cloud networking protocols.
• Familiarity with and understanding of design for software systems running on multiple platform types.
• A basic understanding of Object-Oriented Programming (OOP) principles & Model View Controller (MVC) design patterns, in addition to SQL / NoSQL DBs, GNU, Linux, IPC and process scheduling, and networking protocols TCP/IP.
• Some exposure to full-stack Java software development, Java frameworks and application servers, Web Services (SOAP/REST API), responsive JS (Angular/Node/React.js), version control (preferably Git).
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-10-31
Event Type
Job Posting
TimeMonday, 17 November 20254:12pm - 4:13pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
In-person
Full Time
Monday, 17 November 2025 4:13pm-4:13pm Hall 6
Cloud Engineer Intern
·
Hewlett Packard Enterprise (HPE)
·
Spring, TX
Hide Details
SessionJob Postings
DescriptionThis requestion may be classified as on desk or hybrid depending on location and role.
Job Family Definition:
The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements. The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
Responsibilities:
• Collaborate with cross-functional teams to design, develop, and implement cloud solutions tailored to meet business needs.
• Assist in the deployment and configuration of cloud infrastructure, platforms, and services.
• Contribute to the optimization and automation of the cloud deployment processes to improve efficiency and scalability.
• Perform testing and troubleshooting of cloud systems to ensure reliability, performance, and security.
• Stay up to date with industry trends and best practices in cloud computing to provide insights and recommendations for continuous improvement.
• Support ongoing cloud operations and provide technical assistance as needed.
Job Family Definition:
The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements. The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
Responsibilities:
• Collaborate with cross-functional teams to design, develop, and implement cloud solutions tailored to meet business needs.
• Assist in the deployment and configuration of cloud infrastructure, platforms, and services.
• Contribute to the optimization and automation of the cloud deployment processes to improve efficiency and scalability.
• Perform testing and troubleshooting of cloud systems to ensure reliability, performance, and security.
• Stay up to date with industry trends and best practices in cloud computing to provide insights and recommendations for continuous improvement.
• Support ongoing cloud operations and provide technical assistance as needed.
RequirementsEducation & Experience required:
• Working towards a Bachelor's and/or Master's degree with a focus in computer science, computer engineering, software development, or other IT related field.
Knowledge & Skills:
• Knowledge of at least one programming language like C, C++, python, Javascript, Java or associated libraries, web-sockets, and other cloud networking protocols.
• Familiarity with and understanding of design for software systems running on multiple platform types.
• A basic understanding of Object-Oriented Programming (OOP) principles & Model View Controller (MVC) design patterns, in addition to SQL / NoSQL DBs, GNU, Linux, IPC and process scheduling, and networking protocols TCP/IP.
• Some exposure to full-stack Java software development, Java frameworks and application servers, Web Services (SOAP/REST API), responsive JS (Angular/Node/React.js), version control (preferably Git).
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-10-31
Event Type
Job Posting
TimeMonday, 17 November 20254:13pm - 4:13pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
In-person
Full Time
Software Engineering Graduate
·
Hewlett Packard Enterprise (HPE)
·
Spring, TX
Hide Details
SessionJob Postings
DescriptionThis requestion may be classified as on desk or hybrid depending on location and role.
Job Family Definition:
Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
• Codes and programs enhancements, updates, and changes for portions and subsystems of systems software, including operating systems, compliers, networking, utilities, databases, and Internet-related tools
• Executes established test plans and protocols for assigned portions of code; identifies, logs, and debugs assigned issues.
• Develops understanding of and relationship with internal and outsourced development partners on software systems design and development.
• Participates as a member of a project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for low to moderately- complex products.
Job Family Definition:
Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
• Codes and programs enhancements, updates, and changes for portions and subsystems of systems software, including operating systems, compliers, networking, utilities, databases, and Internet-related tools
• Executes established test plans and protocols for assigned portions of code; identifies, logs, and debugs assigned issues.
• Develops understanding of and relationship with internal and outsourced development partners on software systems design and development.
• Participates as a member of a project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for low to moderately- complex products.
RequirementsGrad Education & Experience Required:
· Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
· Typically, 0-2 years experience
Knowledge and Skills:
• Experience or understanding of software systems design tools and languages.
• Good analytical and problem-solving skills.
• Understanding of design for software systems running on multiple platform types
• Good written and verbal communication skills; mastery in English and local language.
• Understanding of basic testing, coding, and debugging procedures
• Good written and verbal communication skills; mastery in English and local language
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-10-31
Event Type
Job Posting
TimeMonday, 17 November 20254:13pm - 4:13pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
In-person
Full Time
Software Engineering Intern
·
Hewlett Packard Enterprise (HPE)
·
Spring, TX
Hide Details
SessionJob Postings
DescriptionThis requestion may be classified as on desk or hybrid depending on location and role.
Job Family Definition:
Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
• Codes and programs enhancements, updates, and changes for portions and subsystems of systems software, including operating systems, compliers, networking, utilities, databases, and Internet-related tools
• Executes established test plans and protocols for assigned portions of code; identifies, logs, and debugs assigned issues.
• Develops understanding of and relationship with internal and outsourced development partners on software systems design and development.
• Participates as a member of a project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for low to moderately- complex products.
Job Family Definition:
Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
• Codes and programs enhancements, updates, and changes for portions and subsystems of systems software, including operating systems, compliers, networking, utilities, databases, and Internet-related tools
• Executes established test plans and protocols for assigned portions of code; identifies, logs, and debugs assigned issues.
• Develops understanding of and relationship with internal and outsourced development partners on software systems design and development.
• Participates as a member of a project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for low to moderately- complex products.
RequirementsIntern Education & Experience Required:
Working towards a Bachelor's and/or Master's degree with a focus in Computer Science, Information Systems, or equivalent.
Knowledge and Skills:
• Experience or understanding of software systems design tools and languages.
• Good analytical and problem-solving skills.
• Understanding of design for software systems running on multiple platform types
• Good written and verbal communication skills; mastery in English and local language.
• Understanding of basic testing, coding, and debugging procedures
• Good written and verbal communication skills; mastery in English and local language
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-10-31
Event Type
Job Posting
TimeMonday, 17 November 20254:13pm - 4:13pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
In-person
Full Time
Monday, 17 November 2025 4:13pm-4:14pm Hall 6
Senior Product Manager, cuBLAS and cuSOLVER
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionAt NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for a passionate product manager to join the NVIDIA team building our GPU acceleration libraries for AI and HPC. This role is responsible for leading the our cuBLAS and cuSOLVER math libraries, two core CUDA-X math libraries that are the foundation of numerical computing for diverse workloads. This role is highly visible and central to NVIDIA’s continued leadership in accelerated computing.
NVIDIA's CUDA-X libraries are essential, visible and growing both inside and outside of NVIDIA. We need a self-starting product manager to continue growing these math libraries. Do you have the rare blend of both technical, positioning and communication skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you!
What You’ll Be Doing:
Leading: Take a leadership role in defining strategic go-to-market plans that include product launches, campaigns, and events for the CUDA-X libraries across key industries. This includes effective messaging, positioning, and market research.
Building: Bring ideas to life through content creation of sales/partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more.
Presenting: Engage with various audiences (internal and external), delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate
Collaborating: Team up with product managers, product marketing teams, campaign marketing, developer relations, BD, sales, and PR teams to ensure alignment and execution of marketing plans.
Learning: Bring back industry news, direct developer/customer conversations, and share critical insights with internal teams
What We Need To See:
Undergraduate degree or equivalent experience in computer science, mathematics, computer engineering, or relevant technical field
8+ years of combined experience in a product management or technical role at a technology company working with libraries, SDKs, and/or toolkits
Familiarity with linear algebra, numerical methods, and their application in AI, HPC, or scientific computing
Strong technical foundation in GPU computing, CUDA, or parallel programming models
Excellent communication and presentation skills, with the ability to work across engineering, marketing, and business teams
Proven ability to translate technical capabilities into developer and customer value
Ability to prioritize multiple projects and work independently with minimal direction
Ways To Stand Out From The Crowd:
Direct experience with CUDA-X math libraries
Prior experience with basic linear algebra, direct linear solvers and eigen solvers
Strong knowledge and understanding of the HPC and AI markets and it's key players
Prior success in building developer ecosystems or working with ISVs in HPC/AI
Experience driving go-to-market strategy and customer engagements for technical products
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.
You will also be eligible for equity and benefits.
NVIDIA's CUDA-X libraries are essential, visible and growing both inside and outside of NVIDIA. We need a self-starting product manager to continue growing these math libraries. Do you have the rare blend of both technical, positioning and communication skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you!
What You’ll Be Doing:
Leading: Take a leadership role in defining strategic go-to-market plans that include product launches, campaigns, and events for the CUDA-X libraries across key industries. This includes effective messaging, positioning, and market research.
Building: Bring ideas to life through content creation of sales/partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more.
Presenting: Engage with various audiences (internal and external), delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate
Collaborating: Team up with product managers, product marketing teams, campaign marketing, developer relations, BD, sales, and PR teams to ensure alignment and execution of marketing plans.
Learning: Bring back industry news, direct developer/customer conversations, and share critical insights with internal teams
What We Need To See:
Undergraduate degree or equivalent experience in computer science, mathematics, computer engineering, or relevant technical field
8+ years of combined experience in a product management or technical role at a technology company working with libraries, SDKs, and/or toolkits
Familiarity with linear algebra, numerical methods, and their application in AI, HPC, or scientific computing
Strong technical foundation in GPU computing, CUDA, or parallel programming models
Excellent communication and presentation skills, with the ability to work across engineering, marketing, and business teams
Proven ability to translate technical capabilities into developer and customer value
Ability to prioritize multiple projects and work independently with minimal direction
Ways To Stand Out From The Crowd:
Direct experience with CUDA-X math libraries
Prior experience with basic linear algebra, direct linear solvers and eigen solvers
Strong knowledge and understanding of the HPC and AI markets and it's key players
Prior success in building developer ecosystems or working with ISVs in HPC/AI
Experience driving go-to-market strategy and customer engagements for technical products
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-14
Event Type
Job Posting
TimeMonday, 17 November 20254:13pm - 4:14pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Remote
Full Time
Monday, 17 November 2025 4:14pm-4:14pm Hall 6
Product Manager, AI Platform Kernels and Communication Libraries
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA's AI Software Platforms team seeks a technical product manager to accelerate next-generation inference deployments through innovative libraries, communication runtimes, and kernel optimization frameworks. This role bridges low-level GPU programming with ecosystem-wide developer enablement for products including CUTLASS, cuDNN, NCCL, NVSHMEM, and open-source contributions to Triton/FlashInfer.
As NVIDIA Product Managers, our goal is to enable developers to be successful on the NVIDIA Platform, and push the boundaries of what is possible with their AI deployments! For Inference, we are the champions inside NVIDIA for AI developers looking to accelerate their deployments on GPUs. We work directly with developers inside and outside of the company to identify key improvements, create roadmaps, and stay alert on the inference landscape. We also work with NVIDIA leaders to define clear product strategy, and marketing team teams to build go-to-market plans. The Product Management organization at NVIDIA is a small, strong, and impactful group. We focus on enabling deep learning across all GPU use cases and providing extraordinary solutions for developers. We are seeking a rare blend of product skills, technical depth, and drive to make NVIDIA great for developers. Does that sounds familiar? If so, we would love to hear from you!
What you'll be doing:
Architect developer-focused products that simplify high-performance inference and training deployment across diverse GPU architectures.
Define the multi-year strategy for kernel and communication libraries by analyzing performance bottlenecks in emerging AI workloads.
Collaborate with CUDA kernel engineers to design intuitive, high-level abstractions for memory and distributed execution.
Partner with open-source communities like Triton and FlashInfer to shape and drive ecosystem-wide roadmaps.
What we need to see:
5+ years of technical PM experience shipping developer products for GPU acceleration, with expertise in HPC optimization stacks.
Expert-level understanding of CUDA execution models and multi-GPU protocols, with a proven track record to translate hardware capabilities into software roadmaps.
BS or MS or equivalent experience in Computer Engineering or demonstrated expertise in parallel computing architectures.
Strong technical interpersonal skills with experience communicating complex optimizations to developers and researchers.
Ways to stand out from the crowd:
PhD or equivalent experience in Computer Engineering or a related technical field.
Contributed to performance-critical open-source projects like Triton, FlashAttention, or TVM with measurable adoption impact
Crafted GitHub-first developer tools with >1k stars or similar community engagement metrics
Published research on GPU kernel optimization, collective communication algorithms, or ML model serving architectures
Experience building cost-per-inference models incorporating hardware utilization, energy efficiency, and cluster scaling factors
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 218,500 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.
You will also be eligible for equity and benefits.
As NVIDIA Product Managers, our goal is to enable developers to be successful on the NVIDIA Platform, and push the boundaries of what is possible with their AI deployments! For Inference, we are the champions inside NVIDIA for AI developers looking to accelerate their deployments on GPUs. We work directly with developers inside and outside of the company to identify key improvements, create roadmaps, and stay alert on the inference landscape. We also work with NVIDIA leaders to define clear product strategy, and marketing team teams to build go-to-market plans. The Product Management organization at NVIDIA is a small, strong, and impactful group. We focus on enabling deep learning across all GPU use cases and providing extraordinary solutions for developers. We are seeking a rare blend of product skills, technical depth, and drive to make NVIDIA great for developers. Does that sounds familiar? If so, we would love to hear from you!
What you'll be doing:
Architect developer-focused products that simplify high-performance inference and training deployment across diverse GPU architectures.
Define the multi-year strategy for kernel and communication libraries by analyzing performance bottlenecks in emerging AI workloads.
Collaborate with CUDA kernel engineers to design intuitive, high-level abstractions for memory and distributed execution.
Partner with open-source communities like Triton and FlashInfer to shape and drive ecosystem-wide roadmaps.
What we need to see:
5+ years of technical PM experience shipping developer products for GPU acceleration, with expertise in HPC optimization stacks.
Expert-level understanding of CUDA execution models and multi-GPU protocols, with a proven track record to translate hardware capabilities into software roadmaps.
BS or MS or equivalent experience in Computer Engineering or demonstrated expertise in parallel computing architectures.
Strong technical interpersonal skills with experience communicating complex optimizations to developers and researchers.
Ways to stand out from the crowd:
PhD or equivalent experience in Computer Engineering or a related technical field.
Contributed to performance-critical open-source projects like Triton, FlashAttention, or TVM with measurable adoption impact
Crafted GitHub-first developer tools with >1k stars or similar community engagement metrics
Published research on GPU kernel optimization, collective communication algorithms, or ML model serving architectures
Experience building cost-per-inference models incorporating hardware utilization, energy efficiency, and cluster scaling factors
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 218,500 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:14pm - 4:14pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Senior Product Manager, Accelerated Computing HW and SW Fundamentals
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionWe are now looking for a Senior Product Manager: Accelerated Computing HW & SW Fundamentals.
This role operates at the hardware–software boundary of the most advanced computer systems in the world. As demand for compute grows while power and space plateau, the future of data centers depends on innovation across all layers of silicon and platform design. To elevate the quality, security, economics, and capabilities of accelerated computing platforms, we rely on close partnership with internal teams, customers, and vendors across the design cycle. This role reports into the Product Management team for NVIDIA Accelerated CPU Products (like Grace and Vera), helping orchestrate teamwork between these 3 components:
What you'll be doing:
Core Software and Firmware Enablement
We're looking for someone to drive alignment between teams responsible for architecting NVIDIA CPUs, as well as CUDA, GPU drivers, Linux Kernel and distros, BIOS, BMC and IBVs partners, drive enablement plans, customer and partner adoption of key features like Confidential Compute, MPAM, advanced power management, and virtualization, and ensuring components, documentation, and recipes are in place for our entire accelerated compute product portfolio to deliver an excellent out-of-box experience across multiple product lines and their customers.
Telemetry, Quality, and Diagnosability
Partnering with our HGX and DGX product teams, CPMs, engineers, and customers to understand active issues, communicate stages of resolution to our executive staff, and drive tactical and strategic (roadmap-based) closure of gaps. Handle expectations and internal reporting; act as a buffer between high-priority customer and deployments, their account teams, the product organization and engineering.
Guiding component and system-level quality targets in partnership with platform and quality PMs. Help our teams understand and plan for comprehensive in-system telemetry and debugging in future products.
Drive the distribution and packaging of workarounds, patches and mitigations or experimental firmware as needed.
3rd Party Hardware Ecosystem
Driving partnership and alignment with key 3rd parties responsible for memory modules, PCIe add-in cards, and more. Ensuring the correct hardware, business, documentation, and software capabilities are present to integrate with NVIDIA platforms.
This is a high-impact role on a fast-moving and central NVIDIA product team, and requires exceptional:
Communication skills: ability to express sophisticated ideas succinctly and at audience appropriate altitude.
Motivation: self-starting with the ability to drive frequent progress on multiple cross-team efforts.
Ability to Grapple with the Unknown: role definitions and product needs are very fluid, and paths to success will lack clear definition at times— especially in flat cultures like NVIDIA. For the right person, this is an opportunity to experience incredible breadth, and to “choose your own adventure.”
Technical and Architectural Capability: this role sits at the intersection of hardware and system software. EE / CS familiarity, preferably with a computer architecture background and working knowledge of the Linux kernel and boot process is required.
Curiosity and Intellectual Honesty: solving problems requires looking around corners, asking “why,” and the clarity and flexibility to occasionally reflect on and accept a change of paths.
Analytical Thinking: able to build objective measurements of schedules, economic trade-offs, and competitive insights.
Collaboration: we are all here to work on incredible tech that sparks joy, and and to take pride in getting stuff done. There is more than enough impact and scope for everyone to be successful doing it — hero PMs help the product, their partners and their colleagues succeed together.
What we need to see:
Bachelor's or Master’s degree in Computer Science or Computer Engineering (or equivalent experience).
10+ years of experience as a technical product or program manager in a multifaceted, fast-paced, high-tech environment.
Proven understanding of the datacenter hardware and server ecosystem. Familiarity with Arm CPUs is a plus.
Excellent project management and cross-functional leadership skills.
Strong communication and teamwork skills.
Ability to lead multiple projects and priorities in a fast-paced environment.
Want to sit at the heart of the world’s top AI platforms, wear many hats, solve strategic and technical problems, and build the future with a close-knit team of outstanding PMs? We’d love to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.
This role operates at the hardware–software boundary of the most advanced computer systems in the world. As demand for compute grows while power and space plateau, the future of data centers depends on innovation across all layers of silicon and platform design. To elevate the quality, security, economics, and capabilities of accelerated computing platforms, we rely on close partnership with internal teams, customers, and vendors across the design cycle. This role reports into the Product Management team for NVIDIA Accelerated CPU Products (like Grace and Vera), helping orchestrate teamwork between these 3 components:
What you'll be doing:
Core Software and Firmware Enablement
We're looking for someone to drive alignment between teams responsible for architecting NVIDIA CPUs, as well as CUDA, GPU drivers, Linux Kernel and distros, BIOS, BMC and IBVs partners, drive enablement plans, customer and partner adoption of key features like Confidential Compute, MPAM, advanced power management, and virtualization, and ensuring components, documentation, and recipes are in place for our entire accelerated compute product portfolio to deliver an excellent out-of-box experience across multiple product lines and their customers.
Telemetry, Quality, and Diagnosability
Partnering with our HGX and DGX product teams, CPMs, engineers, and customers to understand active issues, communicate stages of resolution to our executive staff, and drive tactical and strategic (roadmap-based) closure of gaps. Handle expectations and internal reporting; act as a buffer between high-priority customer and deployments, their account teams, the product organization and engineering.
Guiding component and system-level quality targets in partnership with platform and quality PMs. Help our teams understand and plan for comprehensive in-system telemetry and debugging in future products.
Drive the distribution and packaging of workarounds, patches and mitigations or experimental firmware as needed.
3rd Party Hardware Ecosystem
Driving partnership and alignment with key 3rd parties responsible for memory modules, PCIe add-in cards, and more. Ensuring the correct hardware, business, documentation, and software capabilities are present to integrate with NVIDIA platforms.
This is a high-impact role on a fast-moving and central NVIDIA product team, and requires exceptional:
Communication skills: ability to express sophisticated ideas succinctly and at audience appropriate altitude.
Motivation: self-starting with the ability to drive frequent progress on multiple cross-team efforts.
Ability to Grapple with the Unknown: role definitions and product needs are very fluid, and paths to success will lack clear definition at times— especially in flat cultures like NVIDIA. For the right person, this is an opportunity to experience incredible breadth, and to “choose your own adventure.”
Technical and Architectural Capability: this role sits at the intersection of hardware and system software. EE / CS familiarity, preferably with a computer architecture background and working knowledge of the Linux kernel and boot process is required.
Curiosity and Intellectual Honesty: solving problems requires looking around corners, asking “why,” and the clarity and flexibility to occasionally reflect on and accept a change of paths.
Analytical Thinking: able to build objective measurements of schedules, economic trade-offs, and competitive insights.
Collaboration: we are all here to work on incredible tech that sparks joy, and and to take pride in getting stuff done. There is more than enough impact and scope for everyone to be successful doing it — hero PMs help the product, their partners and their colleagues succeed together.
What we need to see:
Bachelor's or Master’s degree in Computer Science or Computer Engineering (or equivalent experience).
10+ years of experience as a technical product or program manager in a multifaceted, fast-paced, high-tech environment.
Proven understanding of the datacenter hardware and server ecosystem. Familiarity with Arm CPUs is a plus.
Excellent project management and cross-functional leadership skills.
Strong communication and teamwork skills.
Ability to lead multiple projects and priorities in a fast-paced environment.
Want to sit at the heart of the world’s top AI platforms, wear many hats, solve strategic and technical problems, and build the future with a close-knit team of outstanding PMs? We’d love to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:14pm - 4:14pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Monday, 17 November 2025 4:14pm-4:15pm Hall 6
Accelerated Computing GPU Product Manager
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people!
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
What you'll be doing:
NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets.
Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference
Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals
Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning
Work with our sales organization to develop effective sales collateral and tools
What we need to see:
7+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued
BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
Demonstrated ability to fully contribute in one or more of the areas above within 3 months
Knowledge of, and capable of explaining GPU, software and computing architectures
Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Ability to work closely with cloud partners
Ways to stand out from the crowd:
Strong background in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference
Direct experience in building or leading cloud computing infrastructure and technologies
Exposure to bringing accelerated computing systems to market
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.
You will also be eligible for equity and benefits.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
What you'll be doing:
NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets.
Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference
Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals
Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning
Work with our sales organization to develop effective sales collateral and tools
What we need to see:
7+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued
BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
Demonstrated ability to fully contribute in one or more of the areas above within 3 months
Knowledge of, and capable of explaining GPU, software and computing architectures
Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Ability to work closely with cloud partners
Ways to stand out from the crowd:
Strong background in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference
Direct experience in building or leading cloud computing infrastructure and technologies
Exposure to bringing accelerated computing systems to market
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:14pm - 4:15pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Monday, 17 November 2025 4:15pm-4:15pm Hall 6
Data Center GPU Performance and TCO Product Analyst
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people! Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
What you'll be doing:
NVIDIA's Accelerated Computing team is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets.
Guide the architecture of the next-generation of GPUs through an intuitive and comprehensive grasp of how GPU architecture affects performance for datacenter applications, especially Large Language Models (LLMs)
Drive the discovery of opportunities for innovation in GPU, system, and data-center architecture by analyzing the latest data center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics
Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals
Distill sophisticated analyses into clear recommendations for both technical and non-technical audiences
What we need to see:
5+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued
BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
Deep understanding of fundamentals of GPU architecture, Machine Learning, Deep Learning, and LLM architecture with ability to articulate relationship between application performance and GPU and data center architecture
Ability to develop intuitive models on the economics of data center workloads including data center total cost of operation and token revenues
Demonstrated ability to fully contribute to above areas within 3 months
Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Ways to stand out from the crowd:
2+ years direct experience in developing or deploying large scale GPU based AI applications, like LLMs, for training and inference
Ability to quickly develop intuitive, first-principles based models of Generative AI workload performance using GPU and system architecture (FLOPS, bandwidths, etc.)
Comfort and drive to constantly stay updated with the latest in deep learning research (academic papers) and industry news
Track record of managing multiple parallel efforts, collaborating with diverse teams, including performance engineers, hardware architects, and product managers
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 218,500 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.
You will also be eligible for equity and benefits.
What you'll be doing:
NVIDIA's Accelerated Computing team is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets.
Guide the architecture of the next-generation of GPUs through an intuitive and comprehensive grasp of how GPU architecture affects performance for datacenter applications, especially Large Language Models (LLMs)
Drive the discovery of opportunities for innovation in GPU, system, and data-center architecture by analyzing the latest data center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics
Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals
Distill sophisticated analyses into clear recommendations for both technical and non-technical audiences
What we need to see:
5+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued
BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
Deep understanding of fundamentals of GPU architecture, Machine Learning, Deep Learning, and LLM architecture with ability to articulate relationship between application performance and GPU and data center architecture
Ability to develop intuitive models on the economics of data center workloads including data center total cost of operation and token revenues
Demonstrated ability to fully contribute to above areas within 3 months
Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Ways to stand out from the crowd:
2+ years direct experience in developing or deploying large scale GPU based AI applications, like LLMs, for training and inference
Ability to quickly develop intuitive, first-principles based models of Generative AI workload performance using GPU and system architecture (FLOPS, bandwidths, etc.)
Comfort and drive to constantly stay updated with the latest in deep learning research (academic papers) and industry news
Track record of managing multiple parallel efforts, collaborating with diverse teams, including performance engineers, hardware architects, and product managers
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 218,500 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:15pm - 4:15pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Tech Engagement Lead - Model Builder
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA is seeking a highly influential Generative AI Technical Engagement Lead to evangelize for, drive, and support the seamless adoption and accelerate the performance of NVIDIA's accelerated computing stack across critical AI model development initiatives with leading AI model builders. As a key technical driver, you will facilitate deep technical integration and deepen our collaboration around NVIDIA's pioneering hardware, systems, and software libraries within their core development pipelines. This role demands a leader who can operate strategically at the intersection of product vision, advanced technical execution, and high-level customer engagement, directly influencing model architecture optimization, training infrastructure investments, and ensuring the deployment of robust, scalable generative AI solutions that redefine the state-of-the-art.
What You Will Be Doing:
Lead Technical Engagement: Engage with senior technical leaders and research teams at AI model builders. Optimize their workflows by leveraging NVIDIA's complete stack for their end-to-end generative AI workflows. Serve as a primary technical point of contact.
Drive Integration: Accelerate the technical integration of NVIDIA's core generative AI technologies. This includes NVIDIA GPU architectures, DGX systems, high-performance networking (InfiniBand), CUDA-X libraries, NeMo frameworks, and inference libraries like TensorRT. Integrate these into the training and inference pipelines of large model builders.
Strengthen Partnerships: Support and strengthen technical implementation plans with partner AI engineering and researchers. Define clear technical objectives, performance breakthroughs, and timelines. Align these with their long-term model development goals and NVIDIA's AI strategy.
Influence Product Roadmaps: Represent the software needs of large model builders to internal NVIDIA product and engineering teams. Contribute to product roadmap decisions by synthesizing findings from large-scale model training and inference environments. Identify cross-industry patterns and advocate for improvements to NVIDIA's core technologies.
Maintain Strategic Relationships: Conduct regular cadence meetings. Document insights, track progress, and provide consistent internal reporting on the adoption and impact of NVIDIA technologies.
Showcase Best Practices: Share standard methodologies for crafting and optimizing highly scalable generative AI model development pipelines across all stages. Focus on the context of large model development.
Stay Updated: Keep current with the latest NVIDIA hardware, libraries, and system updates. Proactively share relevant insights and optimizations with partner model development teams.
What We Need To See:
B.S. degree or equivalent experience.
7+ years of experience in technical product or engineering roles. Focus areas include AI/ML, high-performance computing, or distributed systems. Emphasis on core technology integration and partner collaborations is key.
Extensive experience working with or developing platforms that facilitate large-scale AI/ML training and inference workloads. This includes distributed systems, data infrastructure, and groundbreaking GPU cluster technologies.
Hands-on knowledge of large model architectures (e.g., Transformers, Diffusion Models). Familiarity with core deep learning frameworks (e.g., PyTorch, JAX), and NVIDIA AI acceleration libraries (e.g., CUDA, cuDNN, NCCL, TensorRT, NeMo). Understand techniques for model customization, distributed training, and inference orchestration.
Strong understanding of compute infrastructure environments. This includes GPU cluster management, high-speed networking, parallel file systems, and deployment across on-premise and cloud infrastructures. Possess specific understanding of how large model builders operate at scale.
Proven ability to communicate and influence senior leadership across engineering and research leaders at partner organizations. Link NVIDIA technology capabilities to crucial AI model development and business value.
Successfully navigated fast-paced environments, taking decisive action to achieve results. Especially valuable in AI research collaborations.
Skilled at connecting with engineers, researchers, executives, and multi-functional teams.
Ways to Stand Out From The Crowd:
Hands-on experience with large language models (LLMs), diffusion models, distributed training frameworks, and advanced optimization techniques. Ability to prototype quickly and integrate into model development pipelines.
Influence complex product and research decisions by nurturing positive relationships and understanding model builder needs.
Eager drive, strategic curiosity. Anticipate market trends in AI, shape NVIDIA's roadmap, and champion innovation. Understand the large model builder landscape.
Act as a technical advocate for NVIDIA GPU systems and software stack within assigned large model builder partners. Showcase its technical capabilities and strong value proposition.
Understanding of large-scale system performance optimization, container orchestration (e.g., Kubernetes), and Cloud Native technologies for AI workloads.
Join NVIDIA at a crucial time as we pioneer Generative AI growth. We are in the infancy stage of building and scaling our Generative AI business for large model development. This role offers a unique opportunity to join this rapid expansion. NVIDIA's hardware, systems, and software libraries are at the heart of this growth. They empower large model builders to revolutionize their operations with powerful AI capabilities. This is your chance to be a key member of a team that will shape the future of AI model development, working with the world's leading AI research labs and the most innovative technologies. Your contributions will directly impact the trajectory of our Generative AI success, making this an unparalleled opportunity for professional growth and significant impact.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
What You Will Be Doing:
Lead Technical Engagement: Engage with senior technical leaders and research teams at AI model builders. Optimize their workflows by leveraging NVIDIA's complete stack for their end-to-end generative AI workflows. Serve as a primary technical point of contact.
Drive Integration: Accelerate the technical integration of NVIDIA's core generative AI technologies. This includes NVIDIA GPU architectures, DGX systems, high-performance networking (InfiniBand), CUDA-X libraries, NeMo frameworks, and inference libraries like TensorRT. Integrate these into the training and inference pipelines of large model builders.
Strengthen Partnerships: Support and strengthen technical implementation plans with partner AI engineering and researchers. Define clear technical objectives, performance breakthroughs, and timelines. Align these with their long-term model development goals and NVIDIA's AI strategy.
Influence Product Roadmaps: Represent the software needs of large model builders to internal NVIDIA product and engineering teams. Contribute to product roadmap decisions by synthesizing findings from large-scale model training and inference environments. Identify cross-industry patterns and advocate for improvements to NVIDIA's core technologies.
Maintain Strategic Relationships: Conduct regular cadence meetings. Document insights, track progress, and provide consistent internal reporting on the adoption and impact of NVIDIA technologies.
Showcase Best Practices: Share standard methodologies for crafting and optimizing highly scalable generative AI model development pipelines across all stages. Focus on the context of large model development.
Stay Updated: Keep current with the latest NVIDIA hardware, libraries, and system updates. Proactively share relevant insights and optimizations with partner model development teams.
What We Need To See:
B.S. degree or equivalent experience.
7+ years of experience in technical product or engineering roles. Focus areas include AI/ML, high-performance computing, or distributed systems. Emphasis on core technology integration and partner collaborations is key.
Extensive experience working with or developing platforms that facilitate large-scale AI/ML training and inference workloads. This includes distributed systems, data infrastructure, and groundbreaking GPU cluster technologies.
Hands-on knowledge of large model architectures (e.g., Transformers, Diffusion Models). Familiarity with core deep learning frameworks (e.g., PyTorch, JAX), and NVIDIA AI acceleration libraries (e.g., CUDA, cuDNN, NCCL, TensorRT, NeMo). Understand techniques for model customization, distributed training, and inference orchestration.
Strong understanding of compute infrastructure environments. This includes GPU cluster management, high-speed networking, parallel file systems, and deployment across on-premise and cloud infrastructures. Possess specific understanding of how large model builders operate at scale.
Proven ability to communicate and influence senior leadership across engineering and research leaders at partner organizations. Link NVIDIA technology capabilities to crucial AI model development and business value.
Successfully navigated fast-paced environments, taking decisive action to achieve results. Especially valuable in AI research collaborations.
Skilled at connecting with engineers, researchers, executives, and multi-functional teams.
Ways to Stand Out From The Crowd:
Hands-on experience with large language models (LLMs), diffusion models, distributed training frameworks, and advanced optimization techniques. Ability to prototype quickly and integrate into model development pipelines.
Influence complex product and research decisions by nurturing positive relationships and understanding model builder needs.
Eager drive, strategic curiosity. Anticipate market trends in AI, shape NVIDIA's roadmap, and champion innovation. Understand the large model builder landscape.
Act as a technical advocate for NVIDIA GPU systems and software stack within assigned large model builder partners. Showcase its technical capabilities and strong value proposition.
Understanding of large-scale system performance optimization, container orchestration (e.g., Kubernetes), and Cloud Native technologies for AI workloads.
Join NVIDIA at a crucial time as we pioneer Generative AI growth. We are in the infancy stage of building and scaling our Generative AI business for large model development. This role offers a unique opportunity to join this rapid expansion. NVIDIA's hardware, systems, and software libraries are at the heart of this growth. They empower large model builders to revolutionize their operations with powerful AI capabilities. This is your chance to be a key member of a team that will shape the future of AI model development, working with the world's leading AI research labs and the most innovative technologies. Your contributions will directly impact the trajectory of our Generative AI success, making this an unparalleled opportunity for professional growth and significant impact.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:15pm - 4:15pm CST
LocationHall 6
United States of America
NVIDIA Corporation
Remote
Full Time
Senior Technical Marketing Engineer - AI Inference at Scale
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionModern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. Our data center platforms integrate CPUs, GPUs, DPUs, networking, and a full-stack software ecosystem to power AI at scale. We are looking for a Senior Technical Marketing Engineer to join our growing accelerated computing product team. This role is pivotal in defining and articulating the technical foundation of NVIDIA’s products, features, and advantages to enable other teams and ensure a consistent, high-impact go-to-market strategy.
This role will focus on AI inference at scale, ensuring that customers and partners understand how to best leverage the potential of NVIDIA’s accelerated computing solutions. You will collaborate closely with engineering, product teams, field teams, and ecosystem partners to develop compelling technical narratives, competitive positioning, and technical content that drives adoption.
What You’ll Be Doing:
Develop Technical Positioning & Messaging – Translate NVIDIA’s AI inference and accelerated computing technologies into clear, impactful messaging that resonates with hyperscale data centers and enterprise AI customers.
Build Foundational Content – Develop whitepapers, technical blogs, solution briefs, presentations, explainer videos, and demos that highlight NVIDIA’s AI inference capabilities.
Engage with Engineering & Product Teams – Work closely with internal teams to deeply understand product features, roadmaps, and competitive differentiators.
Conduct Competitive Analysis – Analyze competitors' hardware and software solutions, using data and customer feedback to inform NVIDIA’s positioning.
Support Sales & Partner Enablement – Develop training materials, sales enablement tools, and technical content to empower internal teams, partners, and customers.
Lead Go-To-Market Execution – Partner with campaign marketing, field operations, and partner marketing to ensure seamless product launches and market adoption.
Improve NVIDIA’s AI Thought Leadership – Contribute to industry-firsts, customer success stories, analyst briefings, and high-visibility speaking engagements.
What We Need to See:
A BS Degree in Computer Science or Engineering related field with a Masters in Business Administration or equivalent experience in a Product Marketing role
7+ years of experience in product marketing, technical marketing, or customer-facing engineering roles. Must be passionate about AI/ML workloads at scale.
Technical Expertise – Deep understanding of modern data center architectures, accelerated computing, distributed inference, deep learning frameworks (PyTorch, TensorFlow, JAX), and inference-specific frameworks & optimizations (Triton Inference Server, TensorRT-LLM, vLLM, SGLang).
Market Awareness – Experience conducting technical competitive analysis and synthesizing key insights.
Collaboration & Influence – Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams.
Strong Communication & Storytelling – Ability to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences.
Ways to Stand Out from the crowd:
Experience working with hyperscale cloud providers or large-scale AI deployments.
Hands-on experience with AI inferencing workflows using NVIDIA or open-source serving frameworks running on accelerated computing in the data center.
Hands-on Technical Competence – Background in software development, cloud AI infrastructure, and technical writing is a plus.
Demonstrated ability to engage with executive leadership and external partners.
Published technical content or speaking experience at industry events.
NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
This role will focus on AI inference at scale, ensuring that customers and partners understand how to best leverage the potential of NVIDIA’s accelerated computing solutions. You will collaborate closely with engineering, product teams, field teams, and ecosystem partners to develop compelling technical narratives, competitive positioning, and technical content that drives adoption.
What You’ll Be Doing:
Develop Technical Positioning & Messaging – Translate NVIDIA’s AI inference and accelerated computing technologies into clear, impactful messaging that resonates with hyperscale data centers and enterprise AI customers.
Build Foundational Content – Develop whitepapers, technical blogs, solution briefs, presentations, explainer videos, and demos that highlight NVIDIA’s AI inference capabilities.
Engage with Engineering & Product Teams – Work closely with internal teams to deeply understand product features, roadmaps, and competitive differentiators.
Conduct Competitive Analysis – Analyze competitors' hardware and software solutions, using data and customer feedback to inform NVIDIA’s positioning.
Support Sales & Partner Enablement – Develop training materials, sales enablement tools, and technical content to empower internal teams, partners, and customers.
Lead Go-To-Market Execution – Partner with campaign marketing, field operations, and partner marketing to ensure seamless product launches and market adoption.
Improve NVIDIA’s AI Thought Leadership – Contribute to industry-firsts, customer success stories, analyst briefings, and high-visibility speaking engagements.
What We Need to See:
A BS Degree in Computer Science or Engineering related field with a Masters in Business Administration or equivalent experience in a Product Marketing role
7+ years of experience in product marketing, technical marketing, or customer-facing engineering roles. Must be passionate about AI/ML workloads at scale.
Technical Expertise – Deep understanding of modern data center architectures, accelerated computing, distributed inference, deep learning frameworks (PyTorch, TensorFlow, JAX), and inference-specific frameworks & optimizations (Triton Inference Server, TensorRT-LLM, vLLM, SGLang).
Market Awareness – Experience conducting technical competitive analysis and synthesizing key insights.
Collaboration & Influence – Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams.
Strong Communication & Storytelling – Ability to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences.
Ways to Stand Out from the crowd:
Experience working with hyperscale cloud providers or large-scale AI deployments.
Hands-on experience with AI inferencing workflows using NVIDIA or open-source serving frameworks running on accelerated computing in the data center.
Hands-on Technical Competence – Background in software development, cloud AI infrastructure, and technical writing is a plus.
Demonstrated ability to engage with executive leadership and external partners.
Published technical content or speaking experience at industry events.
NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:15pm - 4:15pm CST
LocationHall 6
United States of America
NVIDIA Corporation
Remote
Full Time
Monday, 17 November 2025 4:15pm-4:16pm Hall 6
Technical Marketing Engineer - AI Platform Software
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA software powers today's breakthroughs in AI! To enable researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the AI platform software stack and the ecosystem! This role will craft the fundamental technical content educating developers how to write software's using NVIDIA's AI platforms through technical blog posts, user guides, walk-throughs, benchmark and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA AI platform SW. Do you appreciate the value of a well-done design guide? If so, we'd like your help empowering developers across deep learning training and inference.
What You'll be Doing:
Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content
Being the champion for AI among the NVIDIA developer community by interacting and answering questions about the product on Github and other forums
Improving product documentations to be clear and self-explanatory
Facilitating channel customer usability feedback from the external community and partnering with internal teams to improve NVIDIA AI Platforms to be the easiest to use
Providing code guidelines to DL developers by implementing samples and proof of concept applications
Benchmarking and generating data for better positioning of NVIDIA's SW product
What We Need to See:
Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience
5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company
3+ year of experience with deep learning or machine learning
Strong knowledge of Python or C/C++, programming techniques, and software development
Strength presenting to technical audiences and generating content for developers
Prior success in juggling multiple projects at a time
Ways to Stand Out from the Crowd:
Advanced knowledge of LLMs, modern AI software architecture and cloud APIs
Existing public facing technical content, forum contributions or open source projects
Familiarity with PyTorch, JAX, vLLM or other training & inference frameworks
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4.
You will also be eligible for equity and benefits.
What You'll be Doing:
Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content
Being the champion for AI among the NVIDIA developer community by interacting and answering questions about the product on Github and other forums
Improving product documentations to be clear and self-explanatory
Facilitating channel customer usability feedback from the external community and partnering with internal teams to improve NVIDIA AI Platforms to be the easiest to use
Providing code guidelines to DL developers by implementing samples and proof of concept applications
Benchmarking and generating data for better positioning of NVIDIA's SW product
What We Need to See:
Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience
5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company
3+ year of experience with deep learning or machine learning
Strong knowledge of Python or C/C++, programming techniques, and software development
Strength presenting to technical audiences and generating content for developers
Prior success in juggling multiple projects at a time
Ways to Stand Out from the Crowd:
Advanced knowledge of LLMs, modern AI software architecture and cloud APIs
Existing public facing technical content, forum contributions or open source projects
Familiarity with PyTorch, JAX, vLLM or other training & inference frameworks
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:15pm - 4:16pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Monday, 17 November 2025 4:16pm-4:16pm Hall 6
Developer Relations Manager, Metropolis - Physical AI
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionAre you a rare blend of technical expertise and relationship-building talent? Do you thrive on innovation and want to shape the future of Physical AI? If you’re a proactive self-starter who excels in fast-paced environments and delivers top results, we want to hear from you!
As a Developer Relations Manager for NVIDIA Metropolis, you will play a pivotal role in accelerating the adoption of AI-powered systems that sense, reason, and act. You’ll empower developers and cultivate partnerships across a landscape of intelligent environments. Your efforts will directly support NVIDIA’s vision for smarter, safer, and more efficient cities, manufacturing, and warehouses—leveraging video analytics and automation. Whether enabling robotics or any AI-infused infrastructure, you’ll help bring intelligence to the physical systems that are redefining our world.
What You’ll be doing:
Build and nurture relationships with ISVs (50+) and partners in industries where AI is redefining operations
Engage and support developers, partners, and industry leaders to foster innovation and adoption of AI-powered solutions
Provide technical guidance to help developers integrate NVIDIA’s latest AI technologies for real-time applications
Collaborate with engineering, product, and marketing teams to drive developer engagement and ecosystem growth
Accelerate early adoption of new products and support launches and go-to-market strategies
What We need to see:
10 years experience in same technical areas
Bachelor’s degree or in computer science, engineering, or a related field (or equivalent experience)
Proven success in developer relations, technical evangelism, or a similar technology role
Strong technical background in AI - training, simulation, inferencing, intelligent video analytics, VLM models
Excellent communication and relationship-building skills across organization
Demonstrated leadership in driving partners and achieving bold goals
Ways To Stand Out From The Crowd:
Hands-on experience with AI for physical systems, such as robotics, autonomous vehicles, or intelligent devices, or with NVIDIA platforms (Metropolis, Cosmos, Omniverse, Isaac, CUDA-X)
Experience in industrial automation, intelligent spaces, or AI-enabled physical environments
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous professional with a genuine passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
As a Developer Relations Manager for NVIDIA Metropolis, you will play a pivotal role in accelerating the adoption of AI-powered systems that sense, reason, and act. You’ll empower developers and cultivate partnerships across a landscape of intelligent environments. Your efforts will directly support NVIDIA’s vision for smarter, safer, and more efficient cities, manufacturing, and warehouses—leveraging video analytics and automation. Whether enabling robotics or any AI-infused infrastructure, you’ll help bring intelligence to the physical systems that are redefining our world.
What You’ll be doing:
Build and nurture relationships with ISVs (50+) and partners in industries where AI is redefining operations
Engage and support developers, partners, and industry leaders to foster innovation and adoption of AI-powered solutions
Provide technical guidance to help developers integrate NVIDIA’s latest AI technologies for real-time applications
Collaborate with engineering, product, and marketing teams to drive developer engagement and ecosystem growth
Accelerate early adoption of new products and support launches and go-to-market strategies
What We need to see:
10 years experience in same technical areas
Bachelor’s degree or in computer science, engineering, or a related field (or equivalent experience)
Proven success in developer relations, technical evangelism, or a similar technology role
Strong technical background in AI - training, simulation, inferencing, intelligent video analytics, VLM models
Excellent communication and relationship-building skills across organization
Demonstrated leadership in driving partners and achieving bold goals
Ways To Stand Out From The Crowd:
Hands-on experience with AI for physical systems, such as robotics, autonomous vehicles, or intelligent devices, or with NVIDIA platforms (Metropolis, Cosmos, Omniverse, Isaac, CUDA-X)
Experience in industrial automation, intelligent spaces, or AI-enabled physical environments
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous professional with a genuine passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:16pm - 4:16pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Product Marketing Manager - AI Platform Software
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionBecome a part of NVIDIA, the industry front runner in AI computing, and help us revolutionize AI-powered solutions. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a technical product marketing manager who is passionate about AI frameworks for training and deployment to join NVIDIA’s AI Platform Software team. We need someone technical to build go-to-market plans and shepherd the creation of supporting marketing materials like sample applications, tutorials, white papers, and deeply technical presentations that convey the value of training and inference frameworks, such as PyTorch, JAX, Megatron Core, TensorRT LLM and the underlying kernel and communication libraries such as CUTLASS, NCCL and NIXL.
Do you have the rare blend of both technical and marketing skills? We need hard-working and creative people who want to work on state-of-the-art technology and are passionate about supporting developers. If so, we would love to learn more about you.
What you’ll be doing:
Build product positions - Collaborate with business leaders across NVIDIA to understand and communicate the value of our products to developers. You will gather evidence, develop compelling product claims, and establish positioning points that highlight our strengths and address our competitors' weaknesses.
Introduce products - Develop and complete well-crafted marketing plans, ensuring consistent messaging across all materials. Collaborate with a diverse cross-functional team, including product management, technical marketing, engineering, campaign managers, and PR, to effectively implement these plans.
Foster awareness - Segment and target audiences, identify asset gaps, and collaborate with technical teams to build developer-centric marketing content. This includes generating deep technical blogs, webinars, tutorials, and more to showcase the outstanding features and capabilities
Public engagement - Represent NVIDIA at trade shows, conferences, and customer meetings. Evangelize and nurture the use of our software development kits to grow the NVIDIA developer community.
What we need to see:
MS/PhD in Computer Science or Engineering or equivalent experience
10+ years of meaningful work experience in a technical marketing role related to deep learning software.
Technical expertise - Familiarity with popular large language models like DeepSeek, GPT-OSS, Gemma and Phi and an understanding of optimization techniques for accelerating training and inference workloads.
Frameworks ecosystem knowledge - Experience with compilers such as OAI Triton, XLA, MLIR, and frameworks like PyTorch, JAX, vLLM, sglang.
Programming skills - Proficiency in modern programming languages like Python
Communication skills - Outstanding written and verbal communication and interpersonal skills, with a proven ability to articulate value propositions to both technical and non-technical audiences.
Project management - Demonstrated ability to prioritize projects, commit to getting things done, and work independently.
Entrepreneurial approach - A willingness to work on new products and technologies with an entrepreneurial spirit.
Writing samples - Please include samples of public-facing technical content you’ve built.
Ways to stand out from the crowd:
Product marketing experience - Experience in marketing accelerated computing software products for AI frameworks
NVIDIA ecosystem knowledge - Familiarity with NVIDIA GPUs and the CUDA parallel programming model
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 5, and 224,000 USD - 356,500 USD for Level 6.
You will also be eligible for equity and benefits.
Do you have the rare blend of both technical and marketing skills? We need hard-working and creative people who want to work on state-of-the-art technology and are passionate about supporting developers. If so, we would love to learn more about you.
What you’ll be doing:
Build product positions - Collaborate with business leaders across NVIDIA to understand and communicate the value of our products to developers. You will gather evidence, develop compelling product claims, and establish positioning points that highlight our strengths and address our competitors' weaknesses.
Introduce products - Develop and complete well-crafted marketing plans, ensuring consistent messaging across all materials. Collaborate with a diverse cross-functional team, including product management, technical marketing, engineering, campaign managers, and PR, to effectively implement these plans.
Foster awareness - Segment and target audiences, identify asset gaps, and collaborate with technical teams to build developer-centric marketing content. This includes generating deep technical blogs, webinars, tutorials, and more to showcase the outstanding features and capabilities
Public engagement - Represent NVIDIA at trade shows, conferences, and customer meetings. Evangelize and nurture the use of our software development kits to grow the NVIDIA developer community.
What we need to see:
MS/PhD in Computer Science or Engineering or equivalent experience
10+ years of meaningful work experience in a technical marketing role related to deep learning software.
Technical expertise - Familiarity with popular large language models like DeepSeek, GPT-OSS, Gemma and Phi and an understanding of optimization techniques for accelerating training and inference workloads.
Frameworks ecosystem knowledge - Experience with compilers such as OAI Triton, XLA, MLIR, and frameworks like PyTorch, JAX, vLLM, sglang.
Programming skills - Proficiency in modern programming languages like Python
Communication skills - Outstanding written and verbal communication and interpersonal skills, with a proven ability to articulate value propositions to both technical and non-technical audiences.
Project management - Demonstrated ability to prioritize projects, commit to getting things done, and work independently.
Entrepreneurial approach - A willingness to work on new products and technologies with an entrepreneurial spirit.
Writing samples - Please include samples of public-facing technical content you’ve built.
Ways to stand out from the crowd:
Product marketing experience - Experience in marketing accelerated computing software products for AI frameworks
NVIDIA ecosystem knowledge - Familiarity with NVIDIA GPUs and the CUDA parallel programming model
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 5, and 224,000 USD - 356,500 USD for Level 6.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:16pm - 4:16pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Monday, 17 November 2025 4:16pm-4:17pm Hall 6
Senior Math Libraries Engineer – AI and HPC
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA Math Libraries team is looking for a senior engineer to join our development efforts in the area of kernel generation for AI and HPC, specifically targeting matrix operations, JITing and fusions. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles and countless others. Did you know our team develops the GPU accelerated mathematical libraries that makes all of this possible?
What you will be doing:
Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.
Owning the execution of projects involving multiple engineers and sometimes teams.
Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.
Working closely with product management and other internal and external customers to understand feature and performance requirements and contribute to the technical roadmaps of libraries.
Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.
To be successful in your responsibilities which are by nature sophisticated, you will need to find and explain complex solutions, exercise leadership, and coordinate with multiple teams to work towards your goals.
What we need to see:
PhD, Master’s, or Bachelor's degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).
8+ years of experience in designing, developing, testing, maintenance, and performance optimization of HPC software using C++.
Strong fundamentals in kernel generation and composable library design for linear algebra.
Leadership skills in driving software development projects.
Strong collaboration, communication, and documentation habits.
Kernel generation. JIT focus/experience desired
Ways to stand out from the crowd:
Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.
Good understanding of Machine Learning and Deep Learning technologies as well as knowledge of GPU (preferred) or CPU hardware architecture.
Experience with low level programming using assembly for performance optimization and operator fusion is a huge plus.
Experience with agile software development practices using project management tools such as JIRA.
A scripting language, preferably Python.
With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous GenAI Engineer, who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
What you will be doing:
Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.
Owning the execution of projects involving multiple engineers and sometimes teams.
Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.
Working closely with product management and other internal and external customers to understand feature and performance requirements and contribute to the technical roadmaps of libraries.
Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.
To be successful in your responsibilities which are by nature sophisticated, you will need to find and explain complex solutions, exercise leadership, and coordinate with multiple teams to work towards your goals.
What we need to see:
PhD, Master’s, or Bachelor's degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).
8+ years of experience in designing, developing, testing, maintenance, and performance optimization of HPC software using C++.
Strong fundamentals in kernel generation and composable library design for linear algebra.
Leadership skills in driving software development projects.
Strong collaboration, communication, and documentation habits.
Kernel generation. JIT focus/experience desired
Ways to stand out from the crowd:
Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.
Good understanding of Machine Learning and Deep Learning technologies as well as knowledge of GPU (preferred) or CPU hardware architecture.
Experience with low level programming using assembly for performance optimization and operator fusion is a huge plus.
Experience with agile software development practices using project management tools such as JIRA.
A scripting language, preferably Python.
With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous GenAI Engineer, who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:16pm - 4:17pm CST
LocationHall 6
United States of America
NVIDIA Corporation
Remote
Full Time
Monday, 17 November 2025 4:17pm-4:17pm Hall 6
Senior Software Engineer - Parallel Computing Systems
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionDo you have expertise in CUDA kernel optimization, C++ systems programming, or compiler infrastructure? Join NVIDIA's nvFuser team to build the next-generation fusion compiler that automatically optimizes deep learning models for workloads scaling to thousands of GPUs! We're looking for engineers who excel at parallel programming and systems-level performance work and want to directly impact the future of AI compilation.
The Deep Learning Frameworks Team @ NVIDIA is responsible for building nvFuser, an advanced compiler that sits at the intersection of compiler technology and high-performance computing. You'll work closely with the PyTorch Core team and collaborate with Lightning-AI/Thunder, which integrates nvFuser to accelerate PyTorch workloads. We collaborate with hardware architects, framework maintainers, and optimization experts to create compiler infrastructure that advances GPU performance, developing manual optimization techniques into systematic, automated compiler optimizations.
What you'll be doing
As an nvFuser engineer, you'll work on exciting challenges in compiler technology and performance optimization! You'll design algorithms that generate highly optimized code from deep learning programs and build GPU-aware CPU runtime systems that coordinate kernel execution for maximum performance. Working directly with NVIDIA's hardware engineers, you'll master the latest GPU architectures while collaborating with optimization specialists to develop innovative techniques for emerging AI workloads. From debugging performance bottlenecks in thousand-GPU distributed systems to influencing next-generation hardware design, we push the boundaries of what's possible in AI compilation.
What we need to see
MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
4+ years advanced C++ programming with large codebase development, template meta-programming, and performance-critical code.
Strong parallel programming experience with multi-threading, OpenMP, CUDA, MPI, NCCL, NVSHMEM, or other parallel computing technologies.
Shown experience with low-level performance optimization and systematic bottleneck identification beyond basic profiling.
Performance analysis skills: experience analyzing high-level programs to identify performance bottlenecks and develop optimization strategies.
Collaborative problem-solving approach with adaptability in ambiguous situations, first-principles based thinking, and a sense of ownership.
Excellent verbal and written communication skills.
Ways to stand out from the crowd
Experience with HPC/Scientific Computing: CUDA optimization, GPU programming, numerical libraries (cuBLAS, NCCL), or distributed computing.
Compiler engineering background: LLVM, GCC, domain-specific language design, program analysis, or IR transformations and optimization passes.
Deep technical foundation in CPU/GPU architectures, numeric libraries, modular software design, or runtime systems.
Experience with large software projects, performance profiling, and demonstrated track record of rapid learning.
Expertise with distributed parallelism techniques, tensor operations, auto-tuning, or performance modeling.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
The Deep Learning Frameworks Team @ NVIDIA is responsible for building nvFuser, an advanced compiler that sits at the intersection of compiler technology and high-performance computing. You'll work closely with the PyTorch Core team and collaborate with Lightning-AI/Thunder, which integrates nvFuser to accelerate PyTorch workloads. We collaborate with hardware architects, framework maintainers, and optimization experts to create compiler infrastructure that advances GPU performance, developing manual optimization techniques into systematic, automated compiler optimizations.
What you'll be doing
As an nvFuser engineer, you'll work on exciting challenges in compiler technology and performance optimization! You'll design algorithms that generate highly optimized code from deep learning programs and build GPU-aware CPU runtime systems that coordinate kernel execution for maximum performance. Working directly with NVIDIA's hardware engineers, you'll master the latest GPU architectures while collaborating with optimization specialists to develop innovative techniques for emerging AI workloads. From debugging performance bottlenecks in thousand-GPU distributed systems to influencing next-generation hardware design, we push the boundaries of what's possible in AI compilation.
What we need to see
MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
4+ years advanced C++ programming with large codebase development, template meta-programming, and performance-critical code.
Strong parallel programming experience with multi-threading, OpenMP, CUDA, MPI, NCCL, NVSHMEM, or other parallel computing technologies.
Shown experience with low-level performance optimization and systematic bottleneck identification beyond basic profiling.
Performance analysis skills: experience analyzing high-level programs to identify performance bottlenecks and develop optimization strategies.
Collaborative problem-solving approach with adaptability in ambiguous situations, first-principles based thinking, and a sense of ownership.
Excellent verbal and written communication skills.
Ways to stand out from the crowd
Experience with HPC/Scientific Computing: CUDA optimization, GPU programming, numerical libraries (cuBLAS, NCCL), or distributed computing.
Compiler engineering background: LLVM, GCC, domain-specific language design, program analysis, or IR transformations and optimization passes.
Deep technical foundation in CPU/GPU architectures, numeric libraries, modular software design, or runtime systems.
Experience with large software projects, performance profiling, and demonstrated track record of rapid learning.
Expertise with distributed parallelism techniques, tensor operations, auto-tuning, or performance modeling.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:17pm - 4:17pm CST
LocationHall 6
United States of America
NVIDIA Corporation
Remote
Full Time
Senior Software Engineer, MathDx – cuBLASDx and cuSolverDx
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA is looking for an expert software engineer to help us expand our catalog of Device eXtension (Dx) APIs for our math libraries. For over a decade, NVIDIA's accelerated computing platform has revolutionized HPC and AI with applications ranging from COVID-19 research to autonomous machines. Did you know that our team develops the GPU-accelerated mathematical libraries that make all of this possible?
The hardware and software accelerated computing ecosystem is constantly evolving, including shifts towards hybrid backends, deep integration with high-level languages and ecosystems (such as Python, Numpy, JAX, MLIR…), and optimization at runtime for maximum flexibility and performance. Our Dx APIs allow developers to embed highly-optimized mathematical operations in their applications for these and other scenarios. You will be part of a team designing, developing, and optimizing math libraries for the future. If you are passionate about designing modern HPC libraries and want to build software that will stand the test-of-time as it accelerates countless applications, we might have the dream job you have been waiting for!
What you'll be doing:
Design modern, flexible, and easy to use APIs for math libraries and lead design reviews with all collaborators.
Work closely with internal (e.g., engineering, Product Management) and external partners such as researchers to understand their use cases and requirements.
Become a domain expert by continuously surveying current trends in software systems.
What we need to see:
PhD or MSc degree in Computer Science, Applied Math, or a related science or engineering field is preferred (or equivalent experience).
3+ years of experience designing and developing software for high-performance computing and/or AI applications.
Advanced C++ skills, including modern design paradigms (e.g., template meta-programming, RAII).
Parallel programming experience with CUDA or OpenCL.
Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
Experience using graph compilers and/or Just In Time compilation workflows (e.g. XLA, LLVM, MLIR, Numba, NVRTC).
Programming skills with Python, and modern automation setups for both building software (e.g. cmake) as well as testing it (e.g. CI/CD, sanitizers).
Experience with CCCL, OpenMP, OpenACC, multi-threading, MPI, PGAS.
Strong background in numerical methods (e.g., FFT, numerical linear algebra).
Experience with scientific and deep learning libraries and frameworks such as PyTorch, JAX, MKL, MAGMA, PETSc, Kokkos, etc.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
The hardware and software accelerated computing ecosystem is constantly evolving, including shifts towards hybrid backends, deep integration with high-level languages and ecosystems (such as Python, Numpy, JAX, MLIR…), and optimization at runtime for maximum flexibility and performance. Our Dx APIs allow developers to embed highly-optimized mathematical operations in their applications for these and other scenarios. You will be part of a team designing, developing, and optimizing math libraries for the future. If you are passionate about designing modern HPC libraries and want to build software that will stand the test-of-time as it accelerates countless applications, we might have the dream job you have been waiting for!
What you'll be doing:
Design modern, flexible, and easy to use APIs for math libraries and lead design reviews with all collaborators.
Work closely with internal (e.g., engineering, Product Management) and external partners such as researchers to understand their use cases and requirements.
Become a domain expert by continuously surveying current trends in software systems.
What we need to see:
PhD or MSc degree in Computer Science, Applied Math, or a related science or engineering field is preferred (or equivalent experience).
3+ years of experience designing and developing software for high-performance computing and/or AI applications.
Advanced C++ skills, including modern design paradigms (e.g., template meta-programming, RAII).
Parallel programming experience with CUDA or OpenCL.
Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
Experience using graph compilers and/or Just In Time compilation workflows (e.g. XLA, LLVM, MLIR, Numba, NVRTC).
Programming skills with Python, and modern automation setups for both building software (e.g. cmake) as well as testing it (e.g. CI/CD, sanitizers).
Experience with CCCL, OpenMP, OpenACC, multi-threading, MPI, PGAS.
Strong background in numerical methods (e.g., FFT, numerical linear algebra).
Experience with scientific and deep learning libraries and frameworks such as PyTorch, JAX, MKL, MAGMA, PETSc, Kokkos, etc.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:17pm - 4:17pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Remote
Full Time
Senior Math Libraries Engineer, CPU and GPU Optimization
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA is looking for an expert software engineer to help us deliver CUDA-X libraries across the NVIDIA CPU and GPU ecosystem. For over a decade, NVIDIA's accelerated computing platform has revolutionized HPC and AI with applications ranging from COVID-19 research to autonomous machines. Did you know that our team develops the GPU/CPU-accelerated mathematical libraries that make all of this possible?
The hardware and software accelerated computing ecosystem is constantly evolving, including shifts towards hybrid backends, deep integration with high-level languages and ecosystems (such as Python, Numpy, JAX, MLIR…), and optimization at runtime for maximum flexibility and performance. Our libraries follow CUDA Everywhere approach to let developers use highly-optimized mathematical operations on all hardware available in NVIDIA ecosystem. You will be part of a team designing, developing, and optimizing math libraries for the future. If you are passionate about designing modern HPC libraries and want to build software that will stand the test-of-time as it accelerates countless applications, we might have the dream job you have been waiting for!
What you'll be doing:
Design modern, flexible, and easy to use APIs and kernels for math libraries and lead design reviews with all collaborators.
Work closely with internal (e.g., Engineering, Product Management) and external partners such as researchers to understand their use cases and requirements.
Work with internal and external customers to deliver timely math libraries releases.
Become a domain expert by continuously surveying current trends in software systems.
What we need to see:
PhD or MSc degree in Computer Science, Applied Math, or a related science or engineering field is preferred (or equivalent experience).
12+ years of experience designing and developing software for high-performance computing and/or AI applications.
Advanced C++ skills, including modern design paradigms (e.g., template meta-programming, RAII).
Parallel programming experience with CUDA, OpenCL or vector programming on CPU (AVX, NEON or similar).
Strong collaboration, communication, and documentation habits.
Experience with ARM, RISC-V and/or x86_64 CPU architectures.
Ways to stand out from the crowd:
Strong background in numerical methods (e.g., FFT, numerical linear algebra).
Programming skills with Python, and modern automation setups for both building software (e.g. cmake) as well as testing it (e.g. CI/CD, sanitizers).
Experience with cross-compilation, setting up CPU/GPU/accelerator (cross-)compilation toolchains and bringing existing codes to new architectures.
Background with CCCL, OpenMP, OpenACC, multi-threading, MPI, PGAS.
Experience with scientific and deep learning libraries and frameworks such as PyTorch, JAX, MKL, MAGMA, PETSc, Kokkos, etc.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.
You will also be eligible for equity and benefits.
The hardware and software accelerated computing ecosystem is constantly evolving, including shifts towards hybrid backends, deep integration with high-level languages and ecosystems (such as Python, Numpy, JAX, MLIR…), and optimization at runtime for maximum flexibility and performance. Our libraries follow CUDA Everywhere approach to let developers use highly-optimized mathematical operations on all hardware available in NVIDIA ecosystem. You will be part of a team designing, developing, and optimizing math libraries for the future. If you are passionate about designing modern HPC libraries and want to build software that will stand the test-of-time as it accelerates countless applications, we might have the dream job you have been waiting for!
What you'll be doing:
Design modern, flexible, and easy to use APIs and kernels for math libraries and lead design reviews with all collaborators.
Work closely with internal (e.g., Engineering, Product Management) and external partners such as researchers to understand their use cases and requirements.
Work with internal and external customers to deliver timely math libraries releases.
Become a domain expert by continuously surveying current trends in software systems.
What we need to see:
PhD or MSc degree in Computer Science, Applied Math, or a related science or engineering field is preferred (or equivalent experience).
12+ years of experience designing and developing software for high-performance computing and/or AI applications.
Advanced C++ skills, including modern design paradigms (e.g., template meta-programming, RAII).
Parallel programming experience with CUDA, OpenCL or vector programming on CPU (AVX, NEON or similar).
Strong collaboration, communication, and documentation habits.
Experience with ARM, RISC-V and/or x86_64 CPU architectures.
Ways to stand out from the crowd:
Strong background in numerical methods (e.g., FFT, numerical linear algebra).
Programming skills with Python, and modern automation setups for both building software (e.g. cmake) as well as testing it (e.g. CI/CD, sanitizers).
Experience with cross-compilation, setting up CPU/GPU/accelerator (cross-)compilation toolchains and bringing existing codes to new architectures.
Background with CCCL, OpenMP, OpenACC, multi-threading, MPI, PGAS.
Experience with scientific and deep learning libraries and frameworks such as PyTorch, JAX, MKL, MAGMA, PETSc, Kokkos, etc.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:17pm - 4:17pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Remote
Full Time
Monday, 17 November 2025 4:17pm-4:18pm Hall 6
Senior Math Libraries Engineer - Sparsity in AI
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionWe are looking for software engineers to contribute to the design and development of libraries and tools to simplify and accelerate computing for unstructured sparsity in DL and HPC. Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations, using data centers powered by GPUs and high-performance linear algebra libraries. Applications of these technologies include LLMs, computer aided engineering, quantum chemistry, autonomous vehicles, computer vision, and countless others. Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible?
In this role, you will work together with other developers on developing solutions that involve generalizations to sparse tensor computations, domain specific language (DSL) specifications of sparse storage formats, and on-demand code generation. Ideal candidates will not only have experience developing accelerated computing software, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains and DL frameworks like PyTorch. If this sounds exciting, we would love to meet you!
What you will be doing:
Design and develop a C++-based system to simplify and accelerate computing for unstructured sparsity in DL and HPC on NVIDIA GPUs
Enable the system in languages and frameworks that are more commonly used in DL, such as Python and PyTorch
Evaluate and improve the performance of the system on real-life applications
Realize opportunities to improve library quality, performance and maintainability by writing effective and well-tested code for production use
Work closely with product management and other internal and external partners to understand feature and performance requirements and contribute to technical roadmaps
What we need to see:
BS, MS or PhD degree in Computer Science, Applied Math, or related field (or equivalent experience)
6+ years of overall experience in developing, debugging and optimizing high-performance software using C++ and parallel programming; ideally for sparse linear algebra applications and using CUDA, MPI, OpenMP, or equivalent technologies
Experience with domain-specific language design and compiler optimizations, in particular sparse compilers (MLIR or TACO)
Excellent C++, Python, and CUDA programming skills
Strong collaboration, communication, and documentation habits and ideally experience with working in a globally distributed organization
Ways to stand out from the crowd:
Strong understanding of sparse computations, in particular sparsity in AI and HPC
Good understanding of LLMs, Deep Learning methods and frameworks
Experience with low-level GPU performance optimization
Understanding of numerical linear algebra methods like direct and iterative solvers
Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
In this role, you will work together with other developers on developing solutions that involve generalizations to sparse tensor computations, domain specific language (DSL) specifications of sparse storage formats, and on-demand code generation. Ideal candidates will not only have experience developing accelerated computing software, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains and DL frameworks like PyTorch. If this sounds exciting, we would love to meet you!
What you will be doing:
Design and develop a C++-based system to simplify and accelerate computing for unstructured sparsity in DL and HPC on NVIDIA GPUs
Enable the system in languages and frameworks that are more commonly used in DL, such as Python and PyTorch
Evaluate and improve the performance of the system on real-life applications
Realize opportunities to improve library quality, performance and maintainability by writing effective and well-tested code for production use
Work closely with product management and other internal and external partners to understand feature and performance requirements and contribute to technical roadmaps
What we need to see:
BS, MS or PhD degree in Computer Science, Applied Math, or related field (or equivalent experience)
6+ years of overall experience in developing, debugging and optimizing high-performance software using C++ and parallel programming; ideally for sparse linear algebra applications and using CUDA, MPI, OpenMP, or equivalent technologies
Experience with domain-specific language design and compiler optimizations, in particular sparse compilers (MLIR or TACO)
Excellent C++, Python, and CUDA programming skills
Strong collaboration, communication, and documentation habits and ideally experience with working in a globally distributed organization
Ways to stand out from the crowd:
Strong understanding of sparse computations, in particular sparsity in AI and HPC
Good understanding of LLMs, Deep Learning methods and frameworks
Experience with low-level GPU performance optimization
Understanding of numerical linear algebra methods like direct and iterative solvers
Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:17pm - 4:18pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Remote
Full Time
Monday, 17 November 2025 4:18pm-4:18pm Hall 6
Lead System Software Engineer, CPU and GPU Performance Visualization Tools
·
NVIDIA Corporation
·
US, IL, Champaign, TX, WA
Hide Details
SessionJob Postings
DescriptionNVIDIA's products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions across a wide range of sectors. We are seeking System Software Engineers who are passionate about what they do and are committed to making a difference in the world through their inventions. In the Software Development Tools Team, we enable 1st & 3rd-party developers to turn NVIDIA's hardware into groundbreaking cluster, server, professional, consumer, automotive, and embedded solutions.
What you will be doing:
Partner with system architects, product definition engineers, software/firmware engineers, HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market.
Recommending options and advocating for the needs of profiling tools in hardware development discussions. Providing explanation of and use cases for new hardware feature exposure in software development tools.
Design & build the premiere multi-discipline GPU+CPU+networking profiling tool in the industry. You will have the opportunity to work with researchers and real world developers who are doing important work to improve computers and computing systems.
Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Enable work in tiny embedded and automotive systems. Our tools span the gamut.
Your day to day work will still contain coding, primarily in C/C++ with some Python. You'll work with customers and engineers across teams to explore problems, find solutions, write functional requirements docs and designs, drive execution, and deliver multi-functional software solutions.
What we need to see:
BS, MS, or PhD in EE, CE, CS, or Systems Engineering (or equivalent experience).
12+ years of experience in a related hardware/software position.
Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred.
Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems.
Ways to stand out from the crowd:
Experience with multiple architectures (x86, ARM, Power) or multiple operating systems (Windows, Linux, macOS).
Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition.
Understanding of the intricacies of complex computer hardware and how that affects performance. Experience working collaboratively with chip design engineers a major plus.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our diverse team of talented, capable, and professional people is our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.
You will also be eligible for equity and benefits.
What you will be doing:
Partner with system architects, product definition engineers, software/firmware engineers, HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market.
Recommending options and advocating for the needs of profiling tools in hardware development discussions. Providing explanation of and use cases for new hardware feature exposure in software development tools.
Design & build the premiere multi-discipline GPU+CPU+networking profiling tool in the industry. You will have the opportunity to work with researchers and real world developers who are doing important work to improve computers and computing systems.
Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Enable work in tiny embedded and automotive systems. Our tools span the gamut.
Your day to day work will still contain coding, primarily in C/C++ with some Python. You'll work with customers and engineers across teams to explore problems, find solutions, write functional requirements docs and designs, drive execution, and deliver multi-functional software solutions.
What we need to see:
BS, MS, or PhD in EE, CE, CS, or Systems Engineering (or equivalent experience).
12+ years of experience in a related hardware/software position.
Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred.
Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems.
Ways to stand out from the crowd:
Experience with multiple architectures (x86, ARM, Power) or multiple operating systems (Windows, Linux, macOS).
Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition.
Understanding of the intricacies of complex computer hardware and how that affects performance. Experience working collaboratively with chip design engineers a major plus.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our diverse team of talented, capable, and professional people is our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:18pm - 4:18pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Senior Compiler Engineer - AI
·
NVIDIA Corporation
·
TX, CA, WA
Hide Details
SessionJob Postings
DescriptionNVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning landscape—including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and the analysis/manipulation of high-dimensional data—while also having strong foundations in compiler design and domain-specific languages.
What you'll be doing:
Become part of the team committed to progressing novel and inventive solutions in compilers and development tools, focusing on applied machine learning and artificial intelligence.
Join committed team members in leading tech sectors. Innovate in machine learning, system design, and more. Influence global products.
What we need to see:
BS/MS/PhD in Computer Science or related field (or equivalent experience) with focus on machine learning and compiler development tools
8+ years of software engineering and ML experience (tools development preferred)
Strong knowledge of compilers, code generation, and GPU architecture
Proficiency in Python, C/C++, Julia, Lisp/Scheme
Solid mathematical and scientific foundation relevant to ML and compiler technologies
Ways to Stand Out From the Crowd
10+ years of hands-on experience working with Python, C/C++, Julia, Lisp/Scheme
Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems
Expertise in developing and deploying AI/ML solutions to production environments and embedded systems
Hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning landscape—including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and the analysis/manipulation of high-dimensional data—while also having strong foundations in compiler design and domain-specific languages.
What you'll be doing:
Become part of the team committed to progressing novel and inventive solutions in compilers and development tools, focusing on applied machine learning and artificial intelligence.
Join committed team members in leading tech sectors. Innovate in machine learning, system design, and more. Influence global products.
What we need to see:
BS/MS/PhD in Computer Science or related field (or equivalent experience) with focus on machine learning and compiler development tools
8+ years of software engineering and ML experience (tools development preferred)
Strong knowledge of compilers, code generation, and GPU architecture
Proficiency in Python, C/C++, Julia, Lisp/Scheme
Solid mathematical and scientific foundation relevant to ML and compiler technologies
Ways to Stand Out From the Crowd
10+ years of hands-on experience working with Python, C/C++, Julia, Lisp/Scheme
Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems
Expertise in developing and deploying AI/ML solutions to production environments and embedded systems
Hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:18pm - 4:18pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Remote
Full Time
Monday, 17 November 2025 4:18pm-4:19pm Hall 6
Senior AI-HPC Cluster Engineer - MLOps
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA reinvented itself over two decades, inventing the GPU in 1999 and revolutionizing computer graphics. Design and implement GPU compute clusters for deep learning and high-performance computing.
What you'll be doing:
Provide leadership and strategic mentorship on the management of large-scale HPC systems including the deployment of compute, networking, and storage.
Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions.
Build and nurture customer and cross-team relationships to consistently support the clusters and address changing user needs.
Support our researchers to run their workloads including performance analysis and optimizations.
Conduct root cause analysis and suggest corrective action. Proactively find and fix issues before they occur.
Build innovative tooling to accelerate researchers' velocity, troubleshooting, and software performance at scale.
What we need to see:
Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience.
Minimum of 6 years of experience crafting and operating large scale compute infrastructure.
Experience with AI/HPC job schedulers and orchestrators, such as Slurm, K8s or LSF. Applied experience with AI/HPC workflows that use MPI and NCCL.
Proficient in using Linux including Centos/RHEL and/or Ubuntu Linux distributions. A solid understanding of container technologies like Enroot, Docker and Podman.
Proficiency in one scripting language (Python, Bash) and at least one compiled language (Golang, Rust, C, C++...).
Experience analyzing and tuning performance for a variety of AI/HPC workloads. Excellent problem-solving to analyze complex systems, identify bottlenecks, and implement scalable solutions.
Excellent communication and teamwork skills, with the ability to work effectively with diverse teams and individuals.
Passion for continual learning and staying ahead of new technologies and effective approaches in the HPC and AI/ML infrastructure fields.
Ways to stand out from the crowd:
Experience with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking.
Experience with Machine Learning and Deep Learning concepts, algorithms and models.
Familiarity with High-Speed Networking pertaining to HPC including InfiniBand, RDMA, RoCE and Amazon EFA.
Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workload. Experience working with deep learning frameworks including PyTorch, MegatronLM and TensorFlow.
Familiarity with metrics collection and visualization at scale with Prometheus, OpenSearch and Grafana.
NVIDIA offers competitive salaries and benefits. Our experienced and talented employees contribute to our outstanding engineering team's rapid growth. If you're a tech enthusiast, apply now!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
What you'll be doing:
Provide leadership and strategic mentorship on the management of large-scale HPC systems including the deployment of compute, networking, and storage.
Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions.
Build and nurture customer and cross-team relationships to consistently support the clusters and address changing user needs.
Support our researchers to run their workloads including performance analysis and optimizations.
Conduct root cause analysis and suggest corrective action. Proactively find and fix issues before they occur.
Build innovative tooling to accelerate researchers' velocity, troubleshooting, and software performance at scale.
What we need to see:
Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience.
Minimum of 6 years of experience crafting and operating large scale compute infrastructure.
Experience with AI/HPC job schedulers and orchestrators, such as Slurm, K8s or LSF. Applied experience with AI/HPC workflows that use MPI and NCCL.
Proficient in using Linux including Centos/RHEL and/or Ubuntu Linux distributions. A solid understanding of container technologies like Enroot, Docker and Podman.
Proficiency in one scripting language (Python, Bash) and at least one compiled language (Golang, Rust, C, C++...).
Experience analyzing and tuning performance for a variety of AI/HPC workloads. Excellent problem-solving to analyze complex systems, identify bottlenecks, and implement scalable solutions.
Excellent communication and teamwork skills, with the ability to work effectively with diverse teams and individuals.
Passion for continual learning and staying ahead of new technologies and effective approaches in the HPC and AI/ML infrastructure fields.
Ways to stand out from the crowd:
Experience with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking.
Experience with Machine Learning and Deep Learning concepts, algorithms and models.
Familiarity with High-Speed Networking pertaining to HPC including InfiniBand, RDMA, RoCE and Amazon EFA.
Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workload. Experience working with deep learning frameworks including PyTorch, MegatronLM and TensorFlow.
Familiarity with metrics collection and visualization at scale with Prometheus, OpenSearch and Grafana.
NVIDIA offers competitive salaries and benefits. Our experienced and talented employees contribute to our outstanding engineering team's rapid growth. If you're a tech enthusiast, apply now!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:18pm - 4:19pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Remote
Full Time
Monday, 17 November 2025 4:19pm-4:19pm Hall 6
Principal System Software Engineer - CUDA Driver
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionWe are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality!
CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, switches and the operating system. As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best Compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA.
What you'll be doing:
You will evangelize, architect, and implement new CUDA features
You'll oversee and drive development efforts across multiple teams
Collaborate with members of hardware architecture teams
Help define forward-looking improvements to the CUDA APIs and programming model
Design and maintain performance and precision modeling
Write effective, maintainable, and well-tested code
Develop code for multiple operating systems
What we need to see:
Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
15+ years of relevant systems software development experience
Strong C programming skills
Experience designing, debugging, and maintaining complex software stacks
Experience with operating system interfaces for threads, process control, and virtual memory
Experience with HW/SW co-design, perf. modeling using emulation/simulation, creating SW programming model exposures for HW features
Strong interpersonal, verbal, and written communications skills with a capability to achieve objectives under tight deadlines
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment
Ways to stand out from the crowd:
You have an understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
Designing and implementing drivers programming rich HW acceleration engines and software verification testplans.
Knowledge of CPU, GPU architectures, memory coherence and consistency models
Some familiarity with kernel mode development
Some familiarity with C++
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.
You will also be eligible for equity and benefits.
CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, switches and the operating system. As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best Compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA.
What you'll be doing:
You will evangelize, architect, and implement new CUDA features
You'll oversee and drive development efforts across multiple teams
Collaborate with members of hardware architecture teams
Help define forward-looking improvements to the CUDA APIs and programming model
Design and maintain performance and precision modeling
Write effective, maintainable, and well-tested code
Develop code for multiple operating systems
What we need to see:
Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
15+ years of relevant systems software development experience
Strong C programming skills
Experience designing, debugging, and maintaining complex software stacks
Experience with operating system interfaces for threads, process control, and virtual memory
Experience with HW/SW co-design, perf. modeling using emulation/simulation, creating SW programming model exposures for HW features
Strong interpersonal, verbal, and written communications skills with a capability to achieve objectives under tight deadlines
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment
Ways to stand out from the crowd:
You have an understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
Designing and implementing drivers programming rich HW acceleration engines and software verification testplans.
Knowledge of CPU, GPU architectures, memory coherence and consistency models
Some familiarity with kernel mode development
Some familiarity with C++
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:19pm - 4:19pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Senior Software Engineer - CUDA and Unified Memory
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionWe are hiring software engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality!
CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system. Unified Memory kernel driver provides kernel memory management that enables these advanced features.
What you'll be doing:
As a member of our team, you will apply your design, coding expertise, and creativity, and to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world. You will craft sophisticated solutions to exciting problems shaping the future direction of CUDA!
Architect, and implement new features for new chips and new kernel features
Coordinate with other teams to accomplish your work daily
Help define forward-looking improvements to the CUDA APIs and programming model
Write effective, maintainable, and well-tested kernel and userspace code
Develop code for multiple Linux operating systems
What we need to see:
BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
Strong C programming skills
Minimum of 10+ years of related development experience
Experience working with large codebases
Background with operating system interfaces for threads, process control, and virtual memory
Experience writing and debugging multithreaded programs
Good written communication
Ways to stand out from the crowd:
Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
Knowledge of memory coherence and consistency models
Experience with kernel mode development
Experience with Windows, Linux, or macOS driver development
Some familiarity w C++
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system. Unified Memory kernel driver provides kernel memory management that enables these advanced features.
What you'll be doing:
As a member of our team, you will apply your design, coding expertise, and creativity, and to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world. You will craft sophisticated solutions to exciting problems shaping the future direction of CUDA!
Architect, and implement new features for new chips and new kernel features
Coordinate with other teams to accomplish your work daily
Help define forward-looking improvements to the CUDA APIs and programming model
Write effective, maintainable, and well-tested kernel and userspace code
Develop code for multiple Linux operating systems
What we need to see:
BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
Strong C programming skills
Minimum of 10+ years of related development experience
Experience working with large codebases
Background with operating system interfaces for threads, process control, and virtual memory
Experience writing and debugging multithreaded programs
Good written communication
Ways to stand out from the crowd:
Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
Knowledge of memory coherence and consistency models
Experience with kernel mode development
Experience with Windows, Linux, or macOS driver development
Some familiarity w C++
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:19pm - 4:19pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Senior Manager, Robotics Quality Assurance
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionWe are looking for a Senior Manager, Robotics Quality Assurance to join our SW QA team! You will part of a team that drives all Quality and Innovation for the Nvidia Robotics team! You’ll create engineering processes and build relationship bridges to ensure that the highest industry standards are met.
What you'll be doing:
Define and drive the overall test engineering strategy for our robotics products, establishing an engineering-focused approach to quality encompassing design for scalable test frameworks, tools, and methodologies and lead product testing and engineering efforts across a full-stack robotics solution
Deliver test automation development for “On-Robot Hardware & Software” and embedded software running on our NVIDIA Jetson AGX Thor platform encompassing sensor integration validation, real-time performance, and low-level control systems.
Architect and implement rigorous test plans to validate “AI Foundation models”, like Isaac GR00T, focused on performance, safety, and reliability in real-world scenarios. This involves testing model outputs, identifying edge cases, and ensuring robustness.
Build and maintain the test infrastructure within our “Simulation & Digital Twins” environments, Isaac Sim and Isaac Lab, developing automated tests verifying physics engine accuracy and the transferability of learned policies from simulation to the real robot.
Oversee test automation development for the full “Robotics Software Stack”, including Isaac ROS, and its integration with other robotic components.
Architect, build, and maintain the test infrastructure for a humanoid reference platform showcasing the power of NVIDIA's technology and develop testing methodologies bridging the "sim-to-real" gap, creating a continuous feedback loop between virtual and physical testing.
You'll lead the design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies, ensuring that models trained in simulation (using Isaac GR00T) perform reliably on real physical hardware.
Lead design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies, ensuring that models trained in simulation (using Isaac GR00T) perform reliably on real physical hardware.
What we need to see:
B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience)
12+ overall years aligned Hardware Engineering experience w 3+ years of demonstrable experience in QA involving Robotics or Hardware Engineering
5+ years of leading a team
Proficiency with AI Tools such as Cursor, Github Copilot, Perplexity, and ChatGPT
Experience in with ML and training /testing Robotics Models
Fleet management, telemetry and debug, along with managing demo’s
Engage closely with a range of cross functional teams including project management, hardware and software developers, and routinely share statistical data reports with all customers, including Top-5.
Ability to translate organizational goals to QA deliverables
Strong problem solving and analytical skills with excellent communication skills
Ways to stand out from the crowd:
Incorporating Vision-Language Models (VLMs) -Designing, developing, and deploying robots that can understand and respond to both visual and linguistic inputs, enabling them to perform complex tasks through natural language commands and visual scene interpretation
Teleoperation – Manipulation and setting up data collection labs
Fluent in scripting in Python
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 216,000 USD - 345,000 USD.
You will also be eligible for equity and benefits.
What you'll be doing:
Define and drive the overall test engineering strategy for our robotics products, establishing an engineering-focused approach to quality encompassing design for scalable test frameworks, tools, and methodologies and lead product testing and engineering efforts across a full-stack robotics solution
Deliver test automation development for “On-Robot Hardware & Software” and embedded software running on our NVIDIA Jetson AGX Thor platform encompassing sensor integration validation, real-time performance, and low-level control systems.
Architect and implement rigorous test plans to validate “AI Foundation models”, like Isaac GR00T, focused on performance, safety, and reliability in real-world scenarios. This involves testing model outputs, identifying edge cases, and ensuring robustness.
Build and maintain the test infrastructure within our “Simulation & Digital Twins” environments, Isaac Sim and Isaac Lab, developing automated tests verifying physics engine accuracy and the transferability of learned policies from simulation to the real robot.
Oversee test automation development for the full “Robotics Software Stack”, including Isaac ROS, and its integration with other robotic components.
Architect, build, and maintain the test infrastructure for a humanoid reference platform showcasing the power of NVIDIA's technology and develop testing methodologies bridging the "sim-to-real" gap, creating a continuous feedback loop between virtual and physical testing.
You'll lead the design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies, ensuring that models trained in simulation (using Isaac GR00T) perform reliably on real physical hardware.
Lead design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies, ensuring that models trained in simulation (using Isaac GR00T) perform reliably on real physical hardware.
What we need to see:
B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience)
12+ overall years aligned Hardware Engineering experience w 3+ years of demonstrable experience in QA involving Robotics or Hardware Engineering
5+ years of leading a team
Proficiency with AI Tools such as Cursor, Github Copilot, Perplexity, and ChatGPT
Experience in with ML and training /testing Robotics Models
Fleet management, telemetry and debug, along with managing demo’s
Engage closely with a range of cross functional teams including project management, hardware and software developers, and routinely share statistical data reports with all customers, including Top-5.
Ability to translate organizational goals to QA deliverables
Strong problem solving and analytical skills with excellent communication skills
Ways to stand out from the crowd:
Incorporating Vision-Language Models (VLMs) -Designing, developing, and deploying robots that can understand and respond to both visual and linguistic inputs, enabling them to perform complex tasks through natural language commands and visual scene interpretation
Teleoperation – Manipulation and setting up data collection labs
Fluent in scripting in Python
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 216,000 USD - 345,000 USD.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:19pm - 4:19pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Monday, 17 November 2025 4:19pm-4:20pm Hall 6
Senior Software QA Test Development Engineer - Diagnostics
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team.
What you’ll be doing:
Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc.
Installing and testing various systems OS, server firmware and SW stack.
Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
Build, develop/debug server and OS level automation front-end and back-end framework and tests
Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed.
Work in an agile software development team with very high production quality standards.
Manage bug lifecycle and collaborate with inter-groups to drive for solutions.
What we need to see:
Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field
5+ years proven experience; or master’s degree.
Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript
Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc…) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment.
Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc…), NLP and LLM benchmarking
Experience in using AI development tools for test plans creation, test cases development and test cases automation
Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus
Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) – huge plus
Ways to stand out from the crowd:
AI related tools, LLM and NLP.
Experience working with NVIDIA GPU hardware is a strong plus.
Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)
Background in parallel programming ideally CUDA/OpenCL is a plus
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
What you’ll be doing:
Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc.
Installing and testing various systems OS, server firmware and SW stack.
Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
Build, develop/debug server and OS level automation front-end and back-end framework and tests
Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed.
Work in an agile software development team with very high production quality standards.
Manage bug lifecycle and collaborate with inter-groups to drive for solutions.
What we need to see:
Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field
5+ years proven experience; or master’s degree.
Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript
Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc…) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment.
Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc…), NLP and LLM benchmarking
Experience in using AI development tools for test plans creation, test cases development and test cases automation
Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus
Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) – huge plus
Ways to stand out from the crowd:
AI related tools, LLM and NLP.
Experience working with NVIDIA GPU hardware is a strong plus.
Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)
Background in parallel programming ideally CUDA/OpenCL is a plus
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:19pm - 4:20pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Monday, 17 November 2025 4:20pm-4:20pm Hall 6
Senior Hypervisor and RTOS Engineer
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle.
The Hypervisor and RTOS Team within NVIDIA DRIVE Software plays a critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous vehicles. Our job is to facilitate the sharing and separation of system resources while achieving real-time, safety, and security requirements. We develop Hypervisor and RTOS with a strong focus on automotive quality, safety and security needed for the real-time, highly available system level components of world-class Autonomous Vehicles. We are making extensive use of formal methods to automate our workflow and increase the quality of our SW. We are hiring now for the position of Senior System Software Engineer for Hypervisor and RTOS
What you’ll be doing:
Design and implement core RTOS features
Design and implement core virtualization features using hardware-assisted virtualization capabilities NVIDIA Tegra SOCs
Implement industry standard virtualization interfaces
Develop software that meets automotive safety and security standards, and apply formal methods (i.e. TLA+) to improve software integrity.
What we need to see:
BS, MS in CS/CE/EE or a related engineering field or equivalent experience
8+ years of experience
Proficiency in C, C++
Experience in development of core rtos and virtualization software features
Strong understanding of operating systems and computer architecture
Experience on ARM 64-bit architecture
Clear, concise communication skills
Ways to stand out from the crowd:
Knowledge of Automotive quality standards, ASPICE, ISO 26262, ISO 21434
Hands-on experience with formal verification methods and tools, such as TLA+
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
The Hypervisor and RTOS Team within NVIDIA DRIVE Software plays a critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous vehicles. Our job is to facilitate the sharing and separation of system resources while achieving real-time, safety, and security requirements. We develop Hypervisor and RTOS with a strong focus on automotive quality, safety and security needed for the real-time, highly available system level components of world-class Autonomous Vehicles. We are making extensive use of formal methods to automate our workflow and increase the quality of our SW. We are hiring now for the position of Senior System Software Engineer for Hypervisor and RTOS
What you’ll be doing:
Design and implement core RTOS features
Design and implement core virtualization features using hardware-assisted virtualization capabilities NVIDIA Tegra SOCs
Implement industry standard virtualization interfaces
Develop software that meets automotive safety and security standards, and apply formal methods (i.e. TLA+) to improve software integrity.
What we need to see:
BS, MS in CS/CE/EE or a related engineering field or equivalent experience
8+ years of experience
Proficiency in C, C++
Experience in development of core rtos and virtualization software features
Strong understanding of operating systems and computer architecture
Experience on ARM 64-bit architecture
Clear, concise communication skills
Ways to stand out from the crowd:
Knowledge of Automotive quality standards, ASPICE, ISO 26262, ISO 21434
Hands-on experience with formal verification methods and tools, such as TLA+
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:20pm - 4:20pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Remote
Full Time
Offensive Security Researcher
·
NVIDIA Corporation
·
Santa Clara, CA
Hide Details
SessionJob Postings
DescriptionNVIDIA is looking for security researchers passionate about offensive research across different platforms. Do you have experience with identifying hardware and software vulnerabilities, developing PoC, and tools for automation in vulnerability research? Are you creative and devious in your offensive approach? We want to hear from you!
You should demonstrate ability to excel in an environment with innovative and fast paced development on the worlds most powerful integrated software and hardware computing platform.
What you’ll be doing:
Core job duties will identify vulnerabilities in our embedded firmware and critical system software, building proof of concepts, and collaborating with development teams to remediate them.
Candidates will invest in improving current tools and offensive practices for bug discovery and evaluation while supporting remediation efforts. We expect team members to exercise modern tools for modeling new attack vectors on unreleased and emerging technology platforms.
The most impactful candidates can simulate real attacker behaviors, break systems by exploiting design assumption and effectively communicate their findings for action. Focus will be to increase resilience of the end products against all forms of attack through close collaboration with extended SW and HW offensive security teams.
Products targets span HPC data centers, consumer electronics, autonomous platforms, AI/cloud solutions, and a variety of embedded/IOT platforms providing a rich and complex target space to exercise your skills.
What we need to see:
We'd like to see proven experience and offensive security research (CVE’s, publications, patents, tools, bounties) with demonstrated responsible disclosure practices.
Strong skills in reverse engineering and automation (IDA, Ghidra), fuzzing (AFL, WinAFL, Syzcaller) and exploitation (ROP, memory corruption) are important to success; as well as understanding of modern embedded cryptography and common security issues.
Experience with ARM/X86/RISCV assembly (include shellcode development) and low-level C programming paired with understanding and experience with micro-architectural attacks (side channels, fault injection, etc) is critical.
Demonstrated skill for secure code reviews of complex source projects, and exposure to code quality practices (SDL, threat modeling) that support development goals.
Candidates should be comfortable working collaboratively and remotely with others to accomplish complex team goals, enabling delivery of outstanding security for our products.
BS/BA degree or equivalent experience
12+ years in a security related field
Ways to stand out from the crowd:
Navigating complex platform concerns and ability to analyze composed systems to identify high risk components and established testing targets and objectives.
Practical skills using Hex-Rays IDA Pro and plugin/loaders development (or similar experience with Ghidra) is valuable
Leveraging innovative strategies and AI advancements to accelerate discovery and resolution of security risks.
Experience with enclave models such as NVIDIA CC, ARM TEE, Intel SGX/TDX, AMD SEV-SNP and other isolation technologies.
Development and integration of AI tooling and skills to accelerate and improve activities and or experience with offensive actions targeting AI models (LLM or other) components within those platforms.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify creativity and intelligence. Make the choice to join us today!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.
You will also be eligible for equity and benefits.
You should demonstrate ability to excel in an environment with innovative and fast paced development on the worlds most powerful integrated software and hardware computing platform.
What you’ll be doing:
Core job duties will identify vulnerabilities in our embedded firmware and critical system software, building proof of concepts, and collaborating with development teams to remediate them.
Candidates will invest in improving current tools and offensive practices for bug discovery and evaluation while supporting remediation efforts. We expect team members to exercise modern tools for modeling new attack vectors on unreleased and emerging technology platforms.
The most impactful candidates can simulate real attacker behaviors, break systems by exploiting design assumption and effectively communicate their findings for action. Focus will be to increase resilience of the end products against all forms of attack through close collaboration with extended SW and HW offensive security teams.
Products targets span HPC data centers, consumer electronics, autonomous platforms, AI/cloud solutions, and a variety of embedded/IOT platforms providing a rich and complex target space to exercise your skills.
What we need to see:
We'd like to see proven experience and offensive security research (CVE’s, publications, patents, tools, bounties) with demonstrated responsible disclosure practices.
Strong skills in reverse engineering and automation (IDA, Ghidra), fuzzing (AFL, WinAFL, Syzcaller) and exploitation (ROP, memory corruption) are important to success; as well as understanding of modern embedded cryptography and common security issues.
Experience with ARM/X86/RISCV assembly (include shellcode development) and low-level C programming paired with understanding and experience with micro-architectural attacks (side channels, fault injection, etc) is critical.
Demonstrated skill for secure code reviews of complex source projects, and exposure to code quality practices (SDL, threat modeling) that support development goals.
Candidates should be comfortable working collaboratively and remotely with others to accomplish complex team goals, enabling delivery of outstanding security for our products.
BS/BA degree or equivalent experience
12+ years in a security related field
Ways to stand out from the crowd:
Navigating complex platform concerns and ability to analyze composed systems to identify high risk components and established testing targets and objectives.
Practical skills using Hex-Rays IDA Pro and plugin/loaders development (or similar experience with Ghidra) is valuable
Leveraging innovative strategies and AI advancements to accelerate discovery and resolution of security risks.
Experience with enclave models such as NVIDIA CC, ARM TEE, Intel SGX/TDX, AMD SEV-SNP and other isolation technologies.
Development and integration of AI tooling and skills to accelerate and improve activities and or experience with offensive actions targeting AI models (LLM or other) components within those platforms.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify creativity and intelligence. Make the choice to join us today!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.
You will also be eligible for equity and benefits.
Company DescriptionNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
·
·
2025-10-13
Event Type
Job Posting
TimeMonday, 17 November 20254:20pm - 4:20pm CST
LocationHall 6
United States of America
NVIDIA Corporation
In-person
Full Time
Monday, 17 November 2025 4:20pm-4:21pm Hall 6
Senior Sales Director Cloud
·
Hewlett Packard Enterprise (HPE)
·
Seattle, WA
Hide Details
SessionJob Postings
DescriptionAre you a dynamic sales leader ready to make a bold impact in the cloud networking space? HPE Networking is on the hunt for a high-energy, visionary Regional Sales Director to lead our West Coast expansion—centered in the vibrant Seattle area. This is your opportunity to shape the future of cloud connectivity by driving strategic growth with some of the world’s most influential Cloud Provider accounts.
🚀 What You’ll Do
As the face of HPE Networking in the region, you’ll:
Lead and inspire a high-performing sales team to exceed ambitious revenue goals.
Own the strategy—from go-to-market planning to execution—for all HPE Networking solutions.
Build deep relationships with key Cloud Providers, understanding their business drivers and aligning them with cutting-edge HPE solutions.
Drive complex deals and lead negotiations that deliver real business value.
Collaborate cross-functionally with product leaders, architects, and technical experts to bring innovative solutions to life.
🚀 What You’ll Do
As the face of HPE Networking in the region, you’ll:
Lead and inspire a high-performing sales team to exceed ambitious revenue goals.
Own the strategy—from go-to-market planning to execution—for all HPE Networking solutions.
Build deep relationships with key Cloud Providers, understanding their business drivers and aligning them with cutting-edge HPE solutions.
Drive complex deals and lead negotiations that deliver real business value.
Collaborate cross-functionally with product leaders, architects, and technical experts to bring innovative solutions to life.
Requirements💼 What You Bring
10+ years of progressive sales leadership, including managing direct and matrixed teams.
Proven success leading a region generating $30M+ in annual revenue.
Deep knowledge of the networking landscape—Cisco, Arista, Juniper, Palo Alto, and HPE.
A track record of building and executing multi-year sales strategies.
Mastery of sales methodologies like MEDDICC.
Exceptional communication, executive presence, and customer engagement skills.
A passion for developing talent and building winning teams.
✈️ Travel: Yes – this role requires regional travel to engage with customers and teams.
Company Description🌐 Why HPE Networking?
We’re not just selling products—we’re powering the future of cloud infrastructure. At HPE, you’ll join a team that’s bold, collaborative, and relentlessly focused on innovation. You’ll have the autonomy to lead, the support to succeed, and the opportunity to grow your career at the forefront of the networking revolution.
·
·
2025-11-03
Event Type
Job Posting
TimeMonday, 17 November 20254:20pm - 4:21pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
Remote
Full Time
Monday, 17 November 2025 4:21pm-4:21pm Hall 6
HPE Morpheus VM Essentials – Worldwide Sales Director
·
Hewlett Packard Enterprise (HPE)
·
Spring, TX
Hide Details
SessionJob Postings
DescriptionJob Description
Hewlett Packard Enterprise is seeking a highly experienced and strategic WW VM Essentials Sales Director to lead our global sales organization. This high impact leadership role will be instrumental in driving the success of HPE’s VM Essentials strategy, overseeing a team of more than 50 sales and presales professionals, and reporting directly to the WW Hybrid Cloud Ops Software Sales Leader.
Primary Responsibilities
Shape and execute the global GTM strategy to achieve revenue growth, market share expansion, and customer adoption worldwide.
Drive forecast accuracy, pipeline health, and profitable growth through disciplined business inspection.
Lead and manage a diverse global team of sales professionals establishing clear operational rhythms and accountability aligned with HPE strategic objectives.
Build and sustain a high performing sales organization through effective recruitment enablement and leadership development.
Foster strategic relationships with channel partners, distributors, and ecosystem stakeholders to expand reach and velocity through repeatable partner led motions.
Monitor and analyze market trends, customer requirements, and competitive dynamics to identify new opportunities and inform strategic decisions.
Travel globally as required to engage with customers partners and regional sales teams.
Hewlett Packard Enterprise is seeking a highly experienced and strategic WW VM Essentials Sales Director to lead our global sales organization. This high impact leadership role will be instrumental in driving the success of HPE’s VM Essentials strategy, overseeing a team of more than 50 sales and presales professionals, and reporting directly to the WW Hybrid Cloud Ops Software Sales Leader.
Primary Responsibilities
Shape and execute the global GTM strategy to achieve revenue growth, market share expansion, and customer adoption worldwide.
Drive forecast accuracy, pipeline health, and profitable growth through disciplined business inspection.
Lead and manage a diverse global team of sales professionals establishing clear operational rhythms and accountability aligned with HPE strategic objectives.
Build and sustain a high performing sales organization through effective recruitment enablement and leadership development.
Foster strategic relationships with channel partners, distributors, and ecosystem stakeholders to expand reach and velocity through repeatable partner led motions.
Monitor and analyze market trends, customer requirements, and competitive dynamics to identify new opportunities and inform strategic decisions.
Travel globally as required to engage with customers partners and regional sales teams.
RequirementsExperience & Skills
Proven success in an executive sales leadership role within the technology industry in enterprise software or related fields.
Strong background selling virtualization, cloud management or infrastructure software solutions (experience with VMware, Nutanix or other core virtualization platforms is highly desirable)
Deep understanding of the virtualization market as well as related ecosystem technologies such as software-defined infrastructure, data protection, private/hybrid cloud and HCI/automation solutions.
Strong track record of developing and executing global GTM strategies and driving revenue growth.
Excellent leadership and management skills, with experience building and overseeing large, diverse teams
Strong communication and interpersonal skills, with the ability to build and maintain relationships at the C- level
Ability to think strategically and execute methodically in a fast paced, dynamic environment.
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-11-03
Event Type
Job Posting
TimeMonday, 17 November 20254:21pm - 4:21pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
In-person
Full Time
Director Sales Category Execution - Hybrid Cloud Software
·
Hewlett Packard Enterprise (HPE)
·
Spring, TX
Hide Details
SessionJob Postings
DescriptionThe Category Sales Sr Manager- Hybrid Cloud role involves developing and scaling worldwide category execution for OpsRamp, Morpheus, and VM Essentials by transforming category narratives into actionable go-to-market (GTM) strategies. This role includes building and managing global sales-play execution frameworks that align category assets with regional revenue flow, driving measurable business impact. Additionally, the role requires maintaining cross-functional alignment by collaborating with business units, product marketing, enablement teams, channel/MSP teams, and regional GTM leads to ensure deliverables are effectively activated and business outcomes are achieved.
Key Responsibilities
Global Sales‑Play Execution
Architect and operationalize sales plays globally—anchored to category value proposition and tailored for geos, verticals, customer personas, and GTM touchpoints.
Ensure regional field teams understand pipeline criteria, qualification metrics, performance scorecards, and execution checkpoints for each play.
Sales & Execution Alignment
Liaise with GTM leads, SEs, overlays, and known sellers to secure sales-ready alignment—pipeline buy-ins, stage-gating, and play compliance.
Drive field adoption via quarterly onboarding webinars, play clinics, and seller sandboxes (with sales engineering, demos, and close-won showcase walk-throughs).
Channel/MSP/GSI Engagement
Partner with Channel, MSP, and GSI leadership to co-develop regional-localized execution plans: partner messaging, demand campaigns, enablement sessions, deal registration, co-sell incentives, and published scorecards.
Track partner enrolment rates, partner pipeline metrics, and deal progression to finalize pipeline-to-order conversion levels.
Category & Marketing Synchronization
Work hand-in-hand with Category Management, Product Marketing, and Corporate Marketing to maintain updated playbooks, reference assets, support materials, and narrative consistency across all geos.
Ensure marketing launches, field campaigns, event blitzes, and local digital activation are fully integrated into field play cycles.
Execution Measurement & Governance
Design and maintain monthly global dashboards: play KPIs, pipeline progression, attach rates, average deal size, and vertical mix.
Lead quarterly business performance reviews (QBRs) with Geo leads and BU sponsors to evaluate progress vs. plans, diagnose GTM risks, and steer course corrections.
Cross‑Regio Execution Management
Identify regional execution barriers—lack of sales readiness, demand-gen lags, partner underperformance—and run targeted interventions (e.g., local incentives, tied marketing dollars, training intensives, or SDR pull-in).
Own risk logging and remediation tracking at global level.
Team Leadership and Enablement Coaching
Build and manage a team of ~6–8 execution specialists: play execution architects, regional ops managers, partner-liaison leads, and data/reporting analysts.
Develop a culture of performance accountability, peer coaching, and standardized play deliverables.
Key Responsibilities
Global Sales‑Play Execution
Architect and operationalize sales plays globally—anchored to category value proposition and tailored for geos, verticals, customer personas, and GTM touchpoints.
Ensure regional field teams understand pipeline criteria, qualification metrics, performance scorecards, and execution checkpoints for each play.
Sales & Execution Alignment
Liaise with GTM leads, SEs, overlays, and known sellers to secure sales-ready alignment—pipeline buy-ins, stage-gating, and play compliance.
Drive field adoption via quarterly onboarding webinars, play clinics, and seller sandboxes (with sales engineering, demos, and close-won showcase walk-throughs).
Channel/MSP/GSI Engagement
Partner with Channel, MSP, and GSI leadership to co-develop regional-localized execution plans: partner messaging, demand campaigns, enablement sessions, deal registration, co-sell incentives, and published scorecards.
Track partner enrolment rates, partner pipeline metrics, and deal progression to finalize pipeline-to-order conversion levels.
Category & Marketing Synchronization
Work hand-in-hand with Category Management, Product Marketing, and Corporate Marketing to maintain updated playbooks, reference assets, support materials, and narrative consistency across all geos.
Ensure marketing launches, field campaigns, event blitzes, and local digital activation are fully integrated into field play cycles.
Execution Measurement & Governance
Design and maintain monthly global dashboards: play KPIs, pipeline progression, attach rates, average deal size, and vertical mix.
Lead quarterly business performance reviews (QBRs) with Geo leads and BU sponsors to evaluate progress vs. plans, diagnose GTM risks, and steer course corrections.
Cross‑Regio Execution Management
Identify regional execution barriers—lack of sales readiness, demand-gen lags, partner underperformance—and run targeted interventions (e.g., local incentives, tied marketing dollars, training intensives, or SDR pull-in).
Own risk logging and remediation tracking at global level.
Team Leadership and Enablement Coaching
Build and manage a team of ~6–8 execution specialists: play execution architects, regional ops managers, partner-liaison leads, and data/reporting analysts.
Develop a culture of performance accountability, peer coaching, and standardized play deliverables.
RequirementsQualifications & Attributes
Experience:
10–15+ years in enterprise GTM execution and category roll‑out—ideally within software/infrastructure or hybrid-cloud domains.
Proven track record working with partner-led GTM ecosystems (Channel, MSP, GSI), co-selling motions, pipeline synergy, and reporting transparency.
Skill Set & Expertise:
Ability to design and scale global sales-play frameworks—aligned to category architecture and trusted GTM rhythms (e.g., pipeline gating, play scorecards).
Mastery of cross-functional orchestration—enabling alignment among sales leadership, category owners, marketing enablers, and regional revenue teams.
Fluency in execution analytics: pipeline views, attach-rate dynamics, gross margin impact, and regional variance management.
Mindset & Behaviors:
Execution-first mentality: rigorously monitoring, optimizing, and iterating execution input and output.
Influential and collaborative—strong at gaining traction through informal authority across operations, marketing, sales, and engineers.
Comfort working across time zones and geographies with asynchronous management rhythm.
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-11-03
Event Type
Job Posting
TimeMonday, 17 November 20254:21pm - 4:21pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
Remote
Full Time
Similar Presentations
Monday, 17 November 2025 4:21pm-4:22pm Hall 6
NA Zerto Director
·
Hewlett Packard Enterprise (HPE)
·
Virginia
Hide Details
SessionJob Postings
DescriptionJob Description
Company Overview
At Hewlett Packard Enterprise, everything we do is guided by our purpose – to advance the way people live and work, through engineering experiences that unlock your potential. Through this we seek to make a meaningful contribution to our customers, partners, employees and the communities we serve. It is part of our legacy, and it is our future. We believe technology’s greatest promise lies in its potential for positive change.
We have exciting aspirations and a clear strategy for the future. Our plans are to offer our full portfolio as-a-service and we are now boldly accelerating our organization as an edge-to-cloud platform as a service company. Our Hybrid Cloud and Intelligent Edge platforms, underpinned by our differentiated software solutions and combined with our innovative As-a-Service Consumption models provide our customers with control, security, real-time intelligence and flexibility. By providing the right mix of technology, people, and economics, we optimize our customers IT investments to power their Digital Transformations and help them create the differentiated experiences that unlock their full potential.
For more information on us, please visit www.hpe.com
Role
The North America Zerto Sales Leader is responsible for the strategic direction, execution, and performance of Zerto’s NA sales organization within Hewlett Packard Enterprise (HPE). This role leads a cross-functional leadership team and ensures alignment with HPE’s broader Storage & Data Services strategy to drive growth, customer success, and market expansion. The role reports to the Americas Storage Sales Leader.
Responsibilities
Strategic Leadership
Define and implement the global sales strategy for Zerto, ensuring alignment with HPE’s hybrid cloud and data protection objectives.
Drive revenue growth, customer acquisition, and market penetration across all of North America.
Lead organizational transformation to integrate Zerto into regional sales motions and accelerate adoption.
Team Oversight
Manage and empower a high-performing leadership team, each responsible for a critical function:
Cyber Resilience Vault Sales – Lead go-to-market strategy and execution for cyber resilience solutions, integrating Zerto into HPE’s broader cyber recovery offerings.
Sales Engineering – Oversee global technical pre-sales support, ensuring solution alignment with customer needs and enabling deal success.
Alliances – Manage strategic partnerships to expand Zerto’s reach and co-sell opportunities.
Renewals – Drive customer retention and contract continuity through proactive lifecycle engagement.
Executive Support – Ensure operational efficiency and executive coordination through dedicated support.
Cross-Functional Collaboration
Partner with Product Management to ensure customer feedback and insights are incorporated into the product roadmap and long-term vision.
Collaborate with Marketing to embed Zerto into major HPE campaigns and drive global demand and pipeline generation.
Build strong relationships with Geo Storage Leaders to foster collaboration, solution awareness, and regional alignment.
Work closely with Finance to provide visibility into business challenges and ensure accurate forecasting and budget planning each quarter.
Navigate the complexity of the Zerto Managed Service Provider (MSP) business by coordinating with stakeholders across multiple functions and business units.
Executive Presence & Governance
Represent Zerto by leading messaging at key events such as HPE Discover, Tech Jam, and Sales Kick-offs, as well as during strategic customer and partner engagements.
Participate in weekly forecast calls to ensure governance, pipeline health, and quarterly performance accountability.
Identify and champion new solution opportunities that drive higher margins, larger deal sizes, and increased relevance for HPE in the data protection space.
Company Overview
At Hewlett Packard Enterprise, everything we do is guided by our purpose – to advance the way people live and work, through engineering experiences that unlock your potential. Through this we seek to make a meaningful contribution to our customers, partners, employees and the communities we serve. It is part of our legacy, and it is our future. We believe technology’s greatest promise lies in its potential for positive change.
We have exciting aspirations and a clear strategy for the future. Our plans are to offer our full portfolio as-a-service and we are now boldly accelerating our organization as an edge-to-cloud platform as a service company. Our Hybrid Cloud and Intelligent Edge platforms, underpinned by our differentiated software solutions and combined with our innovative As-a-Service Consumption models provide our customers with control, security, real-time intelligence and flexibility. By providing the right mix of technology, people, and economics, we optimize our customers IT investments to power their Digital Transformations and help them create the differentiated experiences that unlock their full potential.
For more information on us, please visit www.hpe.com
Role
The North America Zerto Sales Leader is responsible for the strategic direction, execution, and performance of Zerto’s NA sales organization within Hewlett Packard Enterprise (HPE). This role leads a cross-functional leadership team and ensures alignment with HPE’s broader Storage & Data Services strategy to drive growth, customer success, and market expansion. The role reports to the Americas Storage Sales Leader.
Responsibilities
Strategic Leadership
Define and implement the global sales strategy for Zerto, ensuring alignment with HPE’s hybrid cloud and data protection objectives.
Drive revenue growth, customer acquisition, and market penetration across all of North America.
Lead organizational transformation to integrate Zerto into regional sales motions and accelerate adoption.
Team Oversight
Manage and empower a high-performing leadership team, each responsible for a critical function:
Cyber Resilience Vault Sales – Lead go-to-market strategy and execution for cyber resilience solutions, integrating Zerto into HPE’s broader cyber recovery offerings.
Sales Engineering – Oversee global technical pre-sales support, ensuring solution alignment with customer needs and enabling deal success.
Alliances – Manage strategic partnerships to expand Zerto’s reach and co-sell opportunities.
Renewals – Drive customer retention and contract continuity through proactive lifecycle engagement.
Executive Support – Ensure operational efficiency and executive coordination through dedicated support.
Cross-Functional Collaboration
Partner with Product Management to ensure customer feedback and insights are incorporated into the product roadmap and long-term vision.
Collaborate with Marketing to embed Zerto into major HPE campaigns and drive global demand and pipeline generation.
Build strong relationships with Geo Storage Leaders to foster collaboration, solution awareness, and regional alignment.
Work closely with Finance to provide visibility into business challenges and ensure accurate forecasting and budget planning each quarter.
Navigate the complexity of the Zerto Managed Service Provider (MSP) business by coordinating with stakeholders across multiple functions and business units.
Executive Presence & Governance
Represent Zerto by leading messaging at key events such as HPE Discover, Tech Jam, and Sales Kick-offs, as well as during strategic customer and partner engagements.
Participate in weekly forecast calls to ensure governance, pipeline health, and quarterly performance accountability.
Identify and champion new solution opportunities that drive higher margins, larger deal sizes, and increased relevance for HPE in the data protection space.
RequirementsRequired Competencies
Executive-Level Impact / Seniority
Breadth of Go to Market (GTM) experience
Track Record of Success
Proven Leadership track record
HPE Cultural fit: Beliefs and leadership behaviors
Our culture is to inspire and develop exceptional people to create exceptional outcomes. At HPE, we put our customers first and partner, innovate and act with uncompromising integrity. This organizational DNA, along with our purpose, serves as the cultural blueprint to shape our beliefs, guide our actions and define our leadership model.
We believe in accelerating what’s next, making bold moves, in the power of ‘Yes we can’ and in being a force for good. At HPE, it’s not just about what we do, but also how we do it. Our leaders need to act as role models in demonstrating our key leadership behaviors of Engage, Empower, Execute and Evolve
HPE is promoting a healthy work-life balance, development opportunities for all employees, as well as a diverse and inclusive environment. You can learn about our company’s plan for sustainably meeting the technology demands of the future or read about the HPE programs launched to improve work/life balance and to encourage its employees to build long term careers with the company.
Languages
Fluency in English is a key requirement.
Travel/Location
The role is US based. Domestic and international travel will be expected.
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-11-03
Event Type
Job Posting
TimeMonday, 17 November 20254:21pm - 4:22pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
Remote
Full Time
Monday, 17 November 2025 4:22pm-4:22pm Hall 6
Sr. Director, Product Management & Architecture – Data Center Networking
·
Hewlett Packard Enterprise (HPE)
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionJuniper Networks, part of Hewlett Packard Enterprise, is seeking a hands-on Distinguished Technologist to drive the next generation of data center networking platforms for hyperscale and AI-driven environments.
In this high-impact, individual contributor role, you will guide the architectural strategy and technical product management for a subset of Juniper’s QFX switching portfolio, with a focus on Trident/Tomahawk scale-up systems and cutting-edge Neo-Cloud solutions. This is a senior technical leadership role—not a people-management position—where your deep expertise will directly shape Juniper’s competitiveness in the fast-evolving AI and hyperscale data center markets.
This role will be based full time in Sunnyvale, CA.
Primary Responsibilities
Lead system architecture and roadmap alignment for QFX products, driving technical differentiation and innovation.
Engage with customers and ecosystem partners at the design and architecture level to ensure Juniper products meet next-gen performance, scalability, and efficiency requirements.
Make critical decisions on technology choices, component selection, and architectural trade-offs for complex switch and router systems.
Collaborate closely with engineering on system design, hardware architecture, power/thermal modeling, and fabric topology.
Analyze market trends and emerging technologies to future-proof Juniper’s data center portfolio.
Communicate technical strategy and product value to customers and stakeholders.
In this high-impact, individual contributor role, you will guide the architectural strategy and technical product management for a subset of Juniper’s QFX switching portfolio, with a focus on Trident/Tomahawk scale-up systems and cutting-edge Neo-Cloud solutions. This is a senior technical leadership role—not a people-management position—where your deep expertise will directly shape Juniper’s competitiveness in the fast-evolving AI and hyperscale data center markets.
This role will be based full time in Sunnyvale, CA.
Primary Responsibilities
Lead system architecture and roadmap alignment for QFX products, driving technical differentiation and innovation.
Engage with customers and ecosystem partners at the design and architecture level to ensure Juniper products meet next-gen performance, scalability, and efficiency requirements.
Make critical decisions on technology choices, component selection, and architectural trade-offs for complex switch and router systems.
Collaborate closely with engineering on system design, hardware architecture, power/thermal modeling, and fabric topology.
Analyze market trends and emerging technologies to future-proof Juniper’s data center portfolio.
Communicate technical strategy and product value to customers and stakeholders.
RequirementsExperience and Skills
Proven track record in designing and building complex hardware systems (switches, routers) for data center or hyperscale environments.
Deep technical expertise in networking silicon, scale-up architectures, and AI/Neo-Cloud infrastructure.
Strong ability to drive technical strategy, architectural innovation, and product differentiation.
Experience collaborating with vendors and ODM partners.
Excellent communication skills—able to articulate technical vision and product value to both customers and internal teams.
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-11-03
Event Type
Job Posting
TimeMonday, 17 November 20254:22pm - 4:22pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
In-person
Full Time
Director, Cybersecurity Transformation
·
Hewlett Packard Enterprise (HPE)
·
Spring, TX
Hide Details
SessionJob Postings
DescriptionJob Description
About our cybersecurity team
Are you ready to make an impact at one of the world’s leading tech companies? At HPE, our Cybersecurity team is shaping the future of secure innovation. We’re looking for an experienced Director, Cybersecurity Transformation to join our Cybersecurity team. If you’re passionate about cybersecurity and ready for your next challenge, we’d love to hear from you.
About the Role
We are seeking a skilled and motivated leader to serve as Director, Cybersecurity Transformation. This role, reporting directly to the Vice President of the Office of the CISO, will be a key partner to senior leadership in strengthening HPE’s cybersecurity posture through continuous improvement, transformation, and the successful delivery of complex programs.
This leader will be responsible for managing a portfolio of large-scale cybersecurity transformation programs and inspiring cross-functional teams to achieve ambitious goals. The ideal candidate will excel at partnering across functions and business units, influencing senior executives, and leading teams to deliver measurable business value.
The ideal leader will bring extensive expertise in program management, leadership in technology-driven initiatives, and a modern approach that combines deep cybersecurity knowledge with agile methodologies and disciplined execution.
Success in this role requires meticulous organization, crisp communication and a methodical approach to measurable risk reduction. Impact is achieved through phased delivery—breaking down complex work into manageable increments that produce early wins and build momentum for lasting adoption.
Transformation Leadership
Drive Transformational Change: Lead the planning, execution, and successful delivery of complex, large-scale transformation programs
Champion Change: Foster a culture of continuous improvement, innovation, and agility by driving the adoption of new processes, tools, and mindsets across the organization.
Ensure Value Realization: Establish and oversee frameworks for tracking and measuring the impact of transformation initiatives, ensuring a clear return on investment.
Program Management Office (PMO) Leadership
Portfolio Oversight: Provide executive oversight for the full portfolio of cybersecurity programs, ensuring alignment with strategic objectives and driving data-driven prioritization and resource allocation.
Financial Management: Project and forecast budgets via rigorous financial planning and oversight.
Transparency: Implement a robust governance framework to ensure accountability and transparency, with regular portfolio reporting to executive leadership.
Team and Stakeholder Leadership
Lead a High-Performing Team: Recruit, mentor, and lead a world-class cybersecurity transformation and program delivery team. You will lead internal and external resources, including technical PMs.
Cultivate Global Relationships: Build and maintain strong global relationships with senior and executive management, as well as stakeholders across the organization, from the C-suite to frontline teams.
Drive Consensus and Resolution: Influence, negotiate, and build consensus to drive success, stepping in to mediate critical escalations and driving alignment.
Skills and Competencies
Inspiring Leadership: Ability to motivate teams to achieve ambitious goals, solve complex problems and to navigate organizational challenges.
Strategic and Business Acumen: Strong understanding of business principles, financial management, and the ability to align program execution with long-term business objectives and critical business success factors.
Exceptional Communication: Outstanding interpersonal and communication skills; able to articulate a clear vision and influence at all levels.
Cybersecurity Knowledge: Deep understanding of the cybersecurity landscape, key threats, technologies, and regulatory frameworks.
Change Leadership: Demonstrated ability to drive adoption of new ways of working and embed lasting cultural change.
About our cybersecurity team
Are you ready to make an impact at one of the world’s leading tech companies? At HPE, our Cybersecurity team is shaping the future of secure innovation. We’re looking for an experienced Director, Cybersecurity Transformation to join our Cybersecurity team. If you’re passionate about cybersecurity and ready for your next challenge, we’d love to hear from you.
About the Role
We are seeking a skilled and motivated leader to serve as Director, Cybersecurity Transformation. This role, reporting directly to the Vice President of the Office of the CISO, will be a key partner to senior leadership in strengthening HPE’s cybersecurity posture through continuous improvement, transformation, and the successful delivery of complex programs.
This leader will be responsible for managing a portfolio of large-scale cybersecurity transformation programs and inspiring cross-functional teams to achieve ambitious goals. The ideal candidate will excel at partnering across functions and business units, influencing senior executives, and leading teams to deliver measurable business value.
The ideal leader will bring extensive expertise in program management, leadership in technology-driven initiatives, and a modern approach that combines deep cybersecurity knowledge with agile methodologies and disciplined execution.
Success in this role requires meticulous organization, crisp communication and a methodical approach to measurable risk reduction. Impact is achieved through phased delivery—breaking down complex work into manageable increments that produce early wins and build momentum for lasting adoption.
Transformation Leadership
Drive Transformational Change: Lead the planning, execution, and successful delivery of complex, large-scale transformation programs
Champion Change: Foster a culture of continuous improvement, innovation, and agility by driving the adoption of new processes, tools, and mindsets across the organization.
Ensure Value Realization: Establish and oversee frameworks for tracking and measuring the impact of transformation initiatives, ensuring a clear return on investment.
Program Management Office (PMO) Leadership
Portfolio Oversight: Provide executive oversight for the full portfolio of cybersecurity programs, ensuring alignment with strategic objectives and driving data-driven prioritization and resource allocation.
Financial Management: Project and forecast budgets via rigorous financial planning and oversight.
Transparency: Implement a robust governance framework to ensure accountability and transparency, with regular portfolio reporting to executive leadership.
Team and Stakeholder Leadership
Lead a High-Performing Team: Recruit, mentor, and lead a world-class cybersecurity transformation and program delivery team. You will lead internal and external resources, including technical PMs.
Cultivate Global Relationships: Build and maintain strong global relationships with senior and executive management, as well as stakeholders across the organization, from the C-suite to frontline teams.
Drive Consensus and Resolution: Influence, negotiate, and build consensus to drive success, stepping in to mediate critical escalations and driving alignment.
Skills and Competencies
Inspiring Leadership: Ability to motivate teams to achieve ambitious goals, solve complex problems and to navigate organizational challenges.
Strategic and Business Acumen: Strong understanding of business principles, financial management, and the ability to align program execution with long-term business objectives and critical business success factors.
Exceptional Communication: Outstanding interpersonal and communication skills; able to articulate a clear vision and influence at all levels.
Cybersecurity Knowledge: Deep understanding of the cybersecurity landscape, key threats, technologies, and regulatory frameworks.
Change Leadership: Demonstrated ability to drive adoption of new ways of working and embed lasting cultural change.
RequirementsQualifications and Experience
Experience: 10+ years in program and portfolio management, including 7+ years in senior leadership roles within large, global organizations. Significant, direct experience in cybersecurity is required.
Proven Track Record: Demonstrated success delivering complex transformation programs with multi-million-dollar budgets and high organizational impact.
Leadership Expertise: Proven ability to build and scale high-performing teams with strong strategic impact.
Education: Bachelor’s degree in Business, Strategy, or a related field; Master’s degree (MBA or equivalent) strongly preferred.
Certifications: PMP, PgMP, Agile Project Management, and/or relevant cybersecurity certifications (e.g., CISSP, CISM) are highly desirable.
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-11-03
Event Type
Job Posting
TimeMonday, 17 November 20254:22pm - 4:22pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
In-person
Full Time
Similar Presentations
HPC Storage Systems Group Lead
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionHPC Storage Systems Group Lead - 105467
Division: NE-NERSC
The National Energy Research Scientific Computing Center (NERSC) is inviting applications for the position of Storage Systems Group (SSG) Lead. NERSC’s mission is to accelerate scientific discovery through high performance computing and data analysis for the Department of Energy’s (DOE) Office of Science programs. NERSC is searching for a knowledgeable and inspired group leader for the Storage Systems Group who will be responsible for developing NERSC’s storage strategy based on NERSC’s systems roadmap, science workflows and user needs. They will provide vision and guidance to design, operate and simplify the storage environment for NERSC’s 11,000+ users.
The SSG is responsible for NERSC’s storage portfolio, including large scale high capacity parallel file systems and archival storage systems with an eye towards balancing performance, stability, and usability for NERSC’s users who operate in a wide variety of DOE mission areas and scientific domains. The SSG Lead provides technical leadership to a group of highly skilled storage engineers who collaborate with other teams at NERSC to deliver innovative solutions to complex problems and a technical vision for the future of NERSC storage platforms.
The NERSC storage environment that SSG is responsible for today is composed of multiple tiers:
• The NERSC hierarchical storage management system (presently High Performance Storage System (HPSS)) stores more than 450 PB of data for the scientific community and puts NERSC in the top 10 largest HPSS deployments globally.
• NERSC provides a large-scale parallel community file system (presently Storage Scale) with more than 150 PB of online storage to the user community on a RDMA over Converged Ethernet (RoCE) fabric.
• Home and common storage mounted via Storage Scale on several thousand nodes across NERSC.
In addition to the current environment, SSG will be responsible for the scratch and new quality of service storage systems (https://www.nersc.gov/news-and-events/news/doudna-storage-solutions) in NERSC’s latest GPU based supercomputer, named Doudna (https://www.nersc.gov/what-we-do/computing-for-science/doudna-system), to be operationalized in 2027. Doudna will deliver a tenfold increase in computing power to NERSC users along with new capabilities. The new Doudna environment will support larger and higher resolution data sets coming from new sensors, detectors, sequencers and telescopes from the scientific community and these data sets will need to be managed, shared and stored.
The Storage Systems Group lead is responsible for understanding existing and new emerging requirements, and deploying storage solutions in collaboration with other NERSC teams to support NERSC’s broad user base of today and tomorrow. In doing so, the SSG Lead will drive the development and implementation of a holistic storage strategy to support changing scientific workflows and new technologies as part of Doudna and future NERSC system roadmaps. To accomplish this, the SSG Lead will be responsible for investigating new storage technologies and engaging with the vendor community on future roadmaps. The SSG Lead will work with the Data Center Department Head to provide guidance and priorities for the group based on NERSC’s strategic plan and its goals.
You will:
• Develop NERSC’s storage strategy based on NERSC’s systems roadmap, science workflows and user needs.
• Lead a team that procures, installs, manages, supports and monitors NERSC’s large scale storage systems, including providing 24x7 support.
• Ensure NERSC’s storage systems meet the needs of NERSC’s 11,000 users by providing high performing, available, and usable systems.
• Work independently and as part of the Storage Systems Group to diagnose and fix storage problems, help analyze storage system issues, and develop and implement workarounds and/or patches for software bugs.
• Provide effective line management to a group of approximately 10 Computer Systems Engineers by hiring excellent staff and working closely with SSG staff members. Ensure staff are meeting goals, provide both positive and constructive feedback to staff and ensure all staff have career growth opportunities.
• Provide technical leadership for implementation and deployment efforts for storage system improvements that enhance task automation, reliability, stability, usability, performance, and security.
• Continuously evaluate new storage technologies and make recommendations on future storage strategy and directions for the center, including both parallel and hierarchical storage, that would create new capabilities and enhance storage and HPC system performance and usability.
• Work closely with other teams at NERSC to enable large-scale simulation, data analysis and AI applications to run on NERSC supercomputing and storage systems.
• Provide budgetary input and oversight for NERSC’s storage systems.
• Lead or collaborate efforts with other Department of Energy (DOE) Labs on future storage technologies, multi-lab storage efforts and other related topics.
• Present at conferences and talks to promote NERSC to other national labs and HPC sites.
• Create and develop a vision and strategy for the group and be a key part of NERSC’s management team.
We are looking for:
• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, Computational Science (or related fields) and current applicable systems support and engineering experience, plus a minimum of 3 years of experience in a managerial role of complex computer systems, storage or networking unit.
• Experience with storage technologies in a Linux environment, such as InfiniBand, RoCE, SAN/NAS, NFS, pNFS, hierarchical storage management systems (such as HPSS), Lustre, Storage Scale, VAST, and object stores.
• Prior experience with HPC applications, workflows and computational and storage systems.
• Experience in managing and supporting a 24/7 IT environment.
• Ability to mentor staff to increase their knowledge and skills.
• Deep and broad knowledge of storage technologies such as parallel filesystems (i.e. Storage Scale), hierarchical storage management (i.e. HPSS), distributed storage systems (i.e. VAST), and storage networking (i.e. InfiniBand or RoCE).
• Demonstrated ability to work independently as well as collaboratively in large projects, and contribute to an active intellectual environment.
• Ability to gather requirements from the scientific user community and turn requirements into system characteristics.
• Strong technical and collaboration skills needed to create and deploy innovative ways of allowing our diverse user base to effectively utilize the unique resources that NERSC provides.
• Understand balancing technical solutions with user needs and show initiative, tact and good judgment in developing solutions to problems.
• Excellent written and verbal communication skills.
Desired skills/knowledge:
• A Master’s or PhD degree in related fields.
• Knowledge of object storage and non-volatile storage technologies.
• Experience administering and deploying storage systems of tens of petabytes (or greater) scale in a HPC environment.
We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!
Why join Berkeley Lab?
We invest in our employees by offering a total rewards package you can count on:
• Exceptional health and retirement benefits (https://benefits.lbl.gov/), including pension or 401K-style plans
• Opportunities to grow in your career - check out our Tuition Assistance Program (https://hr.lbl.gov/service/development/berkeley-lab-tuition-assistance-program/) [Only if Applicable to the Appointment]
• A culture where you’ll belong - we are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown (https://hr.lbl.gov/resource/berkeley-lab-holiday-calendar/) every year.
• Parental bonding leave (for both mothers and fathers)
• Pet insurance
Additional information:
• Application date: Priority consideration will be given to candidates who apply by December 15, 2025. Applications will be accepted until the job posting is removed.
• Appointment type: This is a (full-time/part-time) career appointment, exempt (monthly paid) from overtime pay.
• Salary range: The expected salary for this position is $203,496 - $248,736, which fits into the full salary of $180,876 - $305,268 depending upon the candidate’s skills, knowledge, and abilities. This includes education, certifications, and years of experience.
• Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work modality: This position requires substantial on-site presence, but is eligible for a flexible work mode, and hybrid schedules may be considered. Hybrid work is a combination of performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA and some telework. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here: https://securityandemergencyservices.lbl.gov/).
• Export Control: This position will involve access to hardware, commodities, and technical information subject to export control regulations including, but not limited to, the Export Administration Regulations ("EAR") and/or International Traffic in Arms Regulations ("ITAR"). Accordingly, any hiring decision may depend in part on Berkeley Lab’s ability to obtain or rely on federal government authorizations as required, if you are not a U.S. citizen, lawful permanent resident of the U.S. (“green card holder”), asylee, refugee, or other qualifying protected individual as defined by 8 U.S.C. 1324b(a)(3).
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online and follow the on-line instructions to complete the application process.
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
Division: NE-NERSC
The National Energy Research Scientific Computing Center (NERSC) is inviting applications for the position of Storage Systems Group (SSG) Lead. NERSC’s mission is to accelerate scientific discovery through high performance computing and data analysis for the Department of Energy’s (DOE) Office of Science programs. NERSC is searching for a knowledgeable and inspired group leader for the Storage Systems Group who will be responsible for developing NERSC’s storage strategy based on NERSC’s systems roadmap, science workflows and user needs. They will provide vision and guidance to design, operate and simplify the storage environment for NERSC’s 11,000+ users.
The SSG is responsible for NERSC’s storage portfolio, including large scale high capacity parallel file systems and archival storage systems with an eye towards balancing performance, stability, and usability for NERSC’s users who operate in a wide variety of DOE mission areas and scientific domains. The SSG Lead provides technical leadership to a group of highly skilled storage engineers who collaborate with other teams at NERSC to deliver innovative solutions to complex problems and a technical vision for the future of NERSC storage platforms.
The NERSC storage environment that SSG is responsible for today is composed of multiple tiers:
• The NERSC hierarchical storage management system (presently High Performance Storage System (HPSS)) stores more than 450 PB of data for the scientific community and puts NERSC in the top 10 largest HPSS deployments globally.
• NERSC provides a large-scale parallel community file system (presently Storage Scale) with more than 150 PB of online storage to the user community on a RDMA over Converged Ethernet (RoCE) fabric.
• Home and common storage mounted via Storage Scale on several thousand nodes across NERSC.
In addition to the current environment, SSG will be responsible for the scratch and new quality of service storage systems (https://www.nersc.gov/news-and-events/news/doudna-storage-solutions) in NERSC’s latest GPU based supercomputer, named Doudna (https://www.nersc.gov/what-we-do/computing-for-science/doudna-system), to be operationalized in 2027. Doudna will deliver a tenfold increase in computing power to NERSC users along with new capabilities. The new Doudna environment will support larger and higher resolution data sets coming from new sensors, detectors, sequencers and telescopes from the scientific community and these data sets will need to be managed, shared and stored.
The Storage Systems Group lead is responsible for understanding existing and new emerging requirements, and deploying storage solutions in collaboration with other NERSC teams to support NERSC’s broad user base of today and tomorrow. In doing so, the SSG Lead will drive the development and implementation of a holistic storage strategy to support changing scientific workflows and new technologies as part of Doudna and future NERSC system roadmaps. To accomplish this, the SSG Lead will be responsible for investigating new storage technologies and engaging with the vendor community on future roadmaps. The SSG Lead will work with the Data Center Department Head to provide guidance and priorities for the group based on NERSC’s strategic plan and its goals.
You will:
• Develop NERSC’s storage strategy based on NERSC’s systems roadmap, science workflows and user needs.
• Lead a team that procures, installs, manages, supports and monitors NERSC’s large scale storage systems, including providing 24x7 support.
• Ensure NERSC’s storage systems meet the needs of NERSC’s 11,000 users by providing high performing, available, and usable systems.
• Work independently and as part of the Storage Systems Group to diagnose and fix storage problems, help analyze storage system issues, and develop and implement workarounds and/or patches for software bugs.
• Provide effective line management to a group of approximately 10 Computer Systems Engineers by hiring excellent staff and working closely with SSG staff members. Ensure staff are meeting goals, provide both positive and constructive feedback to staff and ensure all staff have career growth opportunities.
• Provide technical leadership for implementation and deployment efforts for storage system improvements that enhance task automation, reliability, stability, usability, performance, and security.
• Continuously evaluate new storage technologies and make recommendations on future storage strategy and directions for the center, including both parallel and hierarchical storage, that would create new capabilities and enhance storage and HPC system performance and usability.
• Work closely with other teams at NERSC to enable large-scale simulation, data analysis and AI applications to run on NERSC supercomputing and storage systems.
• Provide budgetary input and oversight for NERSC’s storage systems.
• Lead or collaborate efforts with other Department of Energy (DOE) Labs on future storage technologies, multi-lab storage efforts and other related topics.
• Present at conferences and talks to promote NERSC to other national labs and HPC sites.
• Create and develop a vision and strategy for the group and be a key part of NERSC’s management team.
We are looking for:
• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, Computational Science (or related fields) and current applicable systems support and engineering experience, plus a minimum of 3 years of experience in a managerial role of complex computer systems, storage or networking unit.
• Experience with storage technologies in a Linux environment, such as InfiniBand, RoCE, SAN/NAS, NFS, pNFS, hierarchical storage management systems (such as HPSS), Lustre, Storage Scale, VAST, and object stores.
• Prior experience with HPC applications, workflows and computational and storage systems.
• Experience in managing and supporting a 24/7 IT environment.
• Ability to mentor staff to increase their knowledge and skills.
• Deep and broad knowledge of storage technologies such as parallel filesystems (i.e. Storage Scale), hierarchical storage management (i.e. HPSS), distributed storage systems (i.e. VAST), and storage networking (i.e. InfiniBand or RoCE).
• Demonstrated ability to work independently as well as collaboratively in large projects, and contribute to an active intellectual environment.
• Ability to gather requirements from the scientific user community and turn requirements into system characteristics.
• Strong technical and collaboration skills needed to create and deploy innovative ways of allowing our diverse user base to effectively utilize the unique resources that NERSC provides.
• Understand balancing technical solutions with user needs and show initiative, tact and good judgment in developing solutions to problems.
• Excellent written and verbal communication skills.
Desired skills/knowledge:
• A Master’s or PhD degree in related fields.
• Knowledge of object storage and non-volatile storage technologies.
• Experience administering and deploying storage systems of tens of petabytes (or greater) scale in a HPC environment.
We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!
Why join Berkeley Lab?
We invest in our employees by offering a total rewards package you can count on:
• Exceptional health and retirement benefits (https://benefits.lbl.gov/), including pension or 401K-style plans
• Opportunities to grow in your career - check out our Tuition Assistance Program (https://hr.lbl.gov/service/development/berkeley-lab-tuition-assistance-program/) [Only if Applicable to the Appointment]
• A culture where you’ll belong - we are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown (https://hr.lbl.gov/resource/berkeley-lab-holiday-calendar/) every year.
• Parental bonding leave (for both mothers and fathers)
• Pet insurance
Additional information:
• Application date: Priority consideration will be given to candidates who apply by December 15, 2025. Applications will be accepted until the job posting is removed.
• Appointment type: This is a (full-time/part-time) career appointment, exempt (monthly paid) from overtime pay.
• Salary range: The expected salary for this position is $203,496 - $248,736, which fits into the full salary of $180,876 - $305,268 depending upon the candidate’s skills, knowledge, and abilities. This includes education, certifications, and years of experience.
• Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work modality: This position requires substantial on-site presence, but is eligible for a flexible work mode, and hybrid schedules may be considered. Hybrid work is a combination of performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA and some telework. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here: https://securityandemergencyservices.lbl.gov/).
• Export Control: This position will involve access to hardware, commodities, and technical information subject to export control regulations including, but not limited to, the Export Administration Regulations ("EAR") and/or International Traffic in Arms Regulations ("ITAR"). Accordingly, any hiring decision may depend in part on Berkeley Lab’s ability to obtain or rely on federal government authorizations as required, if you are not a U.S. citizen, lawful permanent resident of the U.S. (“green card holder”), asylee, refugee, or other qualifying protected individual as defined by 8 U.S.C. 1324b(a)(3).
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online and follow the on-line instructions to complete the application process.
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
·
·
2025-11-04
Event Type
Job Posting
TimeMonday, 17 November 20254:22pm - 4:22pm CST
LocationHall 6
United States of America
Lawrence Berkeley National Laboratory
In-person
Remote
Full Time
Similar Presentations
Monday, 17 November 2025 4:22pm-4:23pm Hall 6
Sr. Firmware Engineer
·
ARM
·
Austin
Hide Details
SessionJob Postings
DescriptionArm is seeking highly motivated firmware developers to join our Software Engineering group. As a member of the System Solutions team, you will have the opportunity to enable the evolution of Computing Infrastructure using Neoverse CSS. You will be working with a system software team spread across multiple locations. Your primary responsibility will include maintenance, support, and development of firmware for Computing Infrastructure solutions.
Responsibilities:
You will be responsible for support and maintenance of downstream product quality firmware of Arm Neoverse CSS based platform solutions. You will be working alongside distributed firmware development team in contributing to the successful deployment of Arm Neoverse CPU and System IP based Infrastructure platforms. Your responsibilities will include defect management, feature back porting and defect fixing. You will work closely with the release team for coordination of downstream release updates for customers post-launch releases.
Are you are looking for a unique opportunity to be part of a team transforming computing infrastructure landscape? We would like to hear from you!
Responsibilities:
You will be responsible for support and maintenance of downstream product quality firmware of Arm Neoverse CSS based platform solutions. You will be working alongside distributed firmware development team in contributing to the successful deployment of Arm Neoverse CPU and System IP based Infrastructure platforms. Your responsibilities will include defect management, feature back porting and defect fixing. You will work closely with the release team for coordination of downstream release updates for customers post-launch releases.
Are you are looking for a unique opportunity to be part of a team transforming computing infrastructure landscape? We would like to hear from you!
RequirementsExpert in C programming for embedded systems with excellent debugging skills.
Experience in development and maintenance of product quality firmware with good knowledge of bootloaders and device drivers.
Server firmware development experience.
“Nice To Have” Skills and Experience:
Experience in providing support and maintenance of production quality firmware in server segment.
Providing customer support in triaging and resolving reported issues.
Familiarity with open-source projects such as Linux Kernel, TF-A, UEFI EDK II and OpenBMC.
Familiarity with technologies such as RAS, hypervisors, CXL, power management and security.
Company DescriptionArm has built the world’s most pervasive compute architecture, and we’ve led many of the technology revolutions that impact the day-to-day lives of people everywhere. The Future of Infrastructure is Built on Arm. Now we are building new software teams to take us to the next level.
Technology built on Arm is all around us, from industrial and automotive applications, to the IoT, to the desktop and data center. ‘Wherever Computing Happens’, we need to enable Arm by providing software solutions that interface higher-level software stacks with the hardware itself.
·
·
2025-11-05
Event Type
Job Posting
TimeMonday, 17 November 20254:22pm - 4:23pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Monday, 17 November 2025 4:23pm-4:23pm Hall 6
Software Engineer
·
Bolt Graphics
·
Sunnyvale, CA
Hide Details
SessionJob Postings
DescriptionWe’re looking for highly experienced Software Engineers in San Diego, San Jose, Denver, and Minneapolis.
We’re hiring SWE at various levels, where production experience with device drivers, graphics/compute APIs, debugging tools, and user-level applications is highly desired.
We’re hiring SWE at various levels, where production experience with device drivers, graphics/compute APIs, debugging tools, and user-level applications is highly desired.
RequirementsResponsibilities
• Designing, developing, testing, and maintaining complex codebases with many internal and external dependencies.
• Working with hardware teams to develop and test software pre- and post-silicon.
• Coordinating bug fixes that impact various layers of core production software.
Essential Skills
• 10+ years industry experience in production software engineering.
• Highly experienced in C/C++ and Python.
• Experience developing software with many internal/external dependencies and runtime targets.
• Comfort creating and maintaining complex technical documentation including block diagrams, API docs, and user guides.
• Experience with automating the build and deployment of complex software.
• Excellent communication and problem-solving skills.
Additional Skills & Qualifications
• Experience with GPU and parallel programming is preferred
• Experience with 3D rendering is preferred
• Experience with cross-platform development is preferred
• Previous experience as a team lead is preferred
• Experience with OpenMP and other HPC toolkits is preferred
• Startup experience
• Government clearance is preferred
Company DescriptionBolt Graphics is a semiconductor startup based in Sunnyvale, CA building the fastest and most efficient graphics processors. We pride ourselves on our first principles approach to solving problems. We are energized by our mission to reduce the barrier of entry for content creation and consumption. Our goal is to enable everyone to easily create, simulate and consume immersive experiences as vividly as they can imagine them.
Our Values
1. Be Fearless: Unmute yourself. Test boundaries and get proven right.
2. Remain Adaptable: Stay comfortable in a continuously changing world. If you’re wrong, concede and move on.
3. Educate Your Ego: Selflessly collaborate towards our shared purpose.
Benefits
• Medical, Dental, & Vision
• Equity & IRA
• WFH Hardware (computer, desk, chair, etc.)
Bolt is committed to building a diverse and inclusive environment in which we recognize and value each other’s differences as well as fostering a culture that promotes its core values: Professionalism, Integrity, and Respect. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran.
·
·
2025-11-06
Event Type
Job Posting
TimeMonday, 17 November 20254:23pm - 4:23pm CST
LocationHall 6
United States of America
Bolt Graphics
In-person
Remote
Full Time
Hardware Engineer
·
Bolt Graphics
·
Sunnyvale, CA
Hide Details
SessionJob Postings
DescriptionWe’re looking for highly experienced Hardware Engineers in San Diego, San Jose, Denver, and Minneapolis. The HWE is responsible for developing and verifying silicon IP.
The HWE should have hands-on experience taking leading-edge digital silicon IP from idea to bring-up, working with DV and PD teams.
The HWE should have hands-on experience taking leading-edge digital silicon IP from idea to bring-up, working with DV and PD teams.
RequirementsResponsibilities
• Developing and verifying digital silicon IP using an existing C model.
• Creating and maintaining specifications, block diagrams, and detailed documentation/user guides.
• Performance characterization of digital silicon IP.
Essential Skills
• 10+ years industry experience in digital design.
• Highly experienced in RTL design using Verilog / SystemVerilog (VHDL will do, but be prepared to learn SystemVerilog).
• Experience integrating digital silicon IP blocks in an SoC.
• Intimate experience with leading edge nodes.
• Excellent communication and problem-solving skills.
Additional Skills & Qualifications
• Bachelors/masters degree in Electrical Engineering
• Startup experience
• Government clearance is preferred
Company DescriptionBolt Graphics is a semiconductor startup based in Sunnyvale, CA building the fastest and most efficient graphics processors. We pride ourselves on our first principles approach to solving problems. We are energized by our mission to reduce the barrier of entry for content creation and consumption. Our goal is to enable everyone to easily create, simulate and consume immersive experiences as vividly as they can imagine them.
Our Values
1. Be Fearless: Unmute yourself. Test boundaries and get proven right.
2. Remain Adaptable: Stay comfortable in a continuously changing world. If you’re wrong, concede and move on.
3. Educate Your Ego: Selflessly collaborate towards our shared purpose.
Benefits
• Medical, Dental, & Vision
• Equity & IRA
• WFH Hardware (computer, desk, chair, etc.)
Bolt is committed to building a diverse and inclusive environment in which we recognize and value each other’s differences as well as fostering a culture that promotes its core values: Professionalism, Integrity, and Respect. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran.
·
·
2025-11-06
Event Type
Job Posting
TimeMonday, 17 November 20254:23pm - 4:23pm CST
LocationHall 6
United States of America
Bolt Graphics
In-person
Remote
Full Time
Monday, 17 November 2025 4:23pm-4:24pm Hall 6
Performance and PnP Modeling Architect
·
Arm
·
San Diego, CA; Austin, TX, San Jose, CA
Hide Details
SessionJob Postings
DescriptionEfficiently drive and resolve architectural investigations and PnP tradeoff studies across various SoC (CPU, GPU, NPU, Media, IO, interconnects, memory controllers) and Platform components.
Perform detailed workload characterization to identify performance bottlenecks and propose architectural solutions. Collaborate, coordinate, and drive consensus across architects, and IP teams. Conduct workload compaction to facilitate effective modeling.
Create profiling and visualization frameworks to analyze with right level of abstraction. Contribute to automation for streamlining production processes
Stay up-to-date on latest advancements in application development, workload characterization, and performance/power/thermal analysis
Perform detailed workload characterization to identify performance bottlenecks and propose architectural solutions. Collaborate, coordinate, and drive consensus across architects, and IP teams. Conduct workload compaction to facilitate effective modeling.
Create profiling and visualization frameworks to analyze with right level of abstraction. Contribute to automation for streamlining production processes
Stay up-to-date on latest advancements in application development, workload characterization, and performance/power/thermal analysis
RequirementsExperience (+10 years) in SoC Performance Modeling and analysis in the semiconductor industry.
A background in Electrical Engineering, Computer Engineering, or Computer Science with an expertise in computer architecture, and microarchitecture.
Understanding of general-purpose CPU/GPU microarchitecture, including knowledge of areas such as processor pipelines, caches, and memory hierarchy.
Proficient in C/C++ for programming for large-scale software development, familiarity with SystemC TLM, and Python scripting language skills.
Excellent communication, and interpersonal skills with ability to convey effectively complicated solutions.
Drive PnP analysis as an experienced SoC Performance and Power modeling Architect at Arm, focusing on diverse silicon platforms
Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work
Company DescriptionWe are seeking highly skilled and motivated System-on-Chip (SoC) Performance and Power modeling (PnP) Architects to join our diverse team at Arm! Our team focuses on PnP Analysis of Arm SoCs/SoPs (System-on-Package), System level infrastructure (SoC/SoP/Rackscale/Podscale) build together in pre- and post- silicon environments. Working closely with design teams and customers, we develop best-in-class silicon platforms across markets such as servers, accelerators, client, infrastructure, IoT, and automotive.
·
·
2025-11-06
Event Type
Job Posting
TimeMonday, 17 November 20254:23pm - 4:24pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Monday, 17 November 2025 4:24pm-4:24pm Hall 6
Staff Power Analysis Engineer
·
Arm
·
San Jose
Hide Details
SessionJob Postings
DescriptionAre you passionate about shaping the future of chip design? In the Solutions Engineering group at Arm, we offer the outstanding opportunity for an experienced Power Analysis Engineer to join our successful team in a dynamic and diverse role!
Arm is establishing teams to develop new and best-in-class silicon platforms, addressing markets such as premium mobile, compute, IoT, AI/ML server, and automotive. Arm’s ambition is to demonstrate efficient performance by architecting, implementing, and fabricating pioneering silicon using the latest SoC process nodes and packaging technologies.
This is an exciting and unique initiative, where we are driving how the next generation of leading compute devices are built across the industry. Join Arm to be part of the solution.
Arm is establishing teams to develop new and best-in-class silicon platforms, addressing markets such as premium mobile, compute, IoT, AI/ML server, and automotive. Arm’s ambition is to demonstrate efficient performance by architecting, implementing, and fabricating pioneering silicon using the latest SoC process nodes and packaging technologies.
This is an exciting and unique initiative, where we are driving how the next generation of leading compute devices are built across the industry. Join Arm to be part of the solution.
RequirementsIn this role, you will join a highly focused team where we analyze and optimize the performance per watt of our next generation solutions using innovative technologies, methodologies and tools. This will involve simulation, emulation, modeling and collaboration with cross-functional teams in design, verification, architecture, SW, and pre and post silicon test. You will build and innovate new processes along the way. We want your talents applied not only to ensuring customer requirements in PPA are measured and analyzed but also understood and creatively exceeded. This includes:
Developing RTL simulator and emulator-based workloads for power estimation
Creating visualizations demonstrating the hardware power signature and capabilities
Reviewing the quality and accuracy of data produced by the latest EDA power analysis tool flows and evaluating new tools and methodologies
We are seeking experienced engineers for a multi-disciplinary role. Ideal candidates have experience in power analysis, modeling or are motivated engineers with valuable transferable skills from design, implementation, or verification backgrounds.
Understanding of low power design features and techniques, including clock and power gating, voltage/frequency scaling, memory/logic retention
Ability to balance trade-offs between power, performance, and area
Verilog or System Verilog experience
Experience using tools for power analysis, power delivery and signoff. (e.g. PowerPro, PrimePower, PowerArtist)
Knowledge of Physical Implementation flow from RTL through Synthesis, Place & Route to STA
Company DescriptionArm is the top tier supplier of microprocessor technology, offering a wide range of processor IPs to address performance, power and cost requirements for almost all application markets. Combining a multifaceted ecosystem with over 1,000 partners delivering silicon, we have shipped more than 90 billion processors! Our technology is at the heart of a computing and connectivity revolution that is redefining the way people live, and businesses operate.
·
·
2025-11-06
Event Type
Job Posting
TimeMonday, 17 November 20254:24pm - 4:24pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
R&D Engineer
·
Bolt Graphics
·
Sunnyvale, CA
Hide Details
SessionJob Postings
DescriptionWe’re looking for highly skilled R&D Engineers with expertise in algorithms, mathematical modeling, and scientific computing. The R&D Engineer will perform in-depth research on high-performance computing algorithms, evaluate competitive approaches, and help translate complex mathematical concepts into computationally efficient models.
This role requires close collaboration with hardware architects and leadership to define proof-of-concept features, provide benchmarking insights, and guide system requirements with a focus on performance. The ideal candidate has an advanced academic background in physics, mathematics, computer engineering, computer science, or a related field, with demonstrated experience in algorithms, modeling of physical phenomena, and programming for scientific computing.
This role requires close collaboration with hardware architects and leadership to define proof-of-concept features, provide benchmarking insights, and guide system requirements with a focus on performance. The ideal candidate has an advanced academic background in physics, mathematics, computer engineering, computer science, or a related field, with demonstrated experience in algorithms, modeling of physical phenomena, and programming for scientific computing.
RequirementsResponsibilities
• Perform in-depth research and analysis on preexisting HPC algorithms.
• Translate advanced mathematical concepts (e.g. calculus) into discrete, computationally friendly models.
• Conduct competitive analysis (tools, algorithms, performance benchmarks) and report findings to leadership.
• Collaborate with the Hardware Architect to define PoC features and systems requirements.
• Provide performance estimations and benchmarking data throughout the project.
Essential Skills
• Education/Experience: Advanced degree (Master’s or PhD) in Physics, Mathematics, Computer Engineering, Computer Science, or a related field with a strong focus on algorithms and scientific computing.
• Algorithm & Math Expertise: Proficient in advanced calculus, discrete mathematics, and modeling of physical phenomena.
• Programming: Familiarity with Python/Julia (highly preferred)
• Communication: Ability to clearly articulate research findings to both technical and non-technical leadership.
Additional Skills & Qualifications
• Exposure to hardware acceleration, HPC, or GPU/FPGA technologies is beneficial.
Company DescriptionBolt Graphics is a semiconductor startup based in Sunnyvale, CA building the fastest and most efficient graphics processors. We pride ourselves on our first principles approach to solving problems. We are energized by our mission to reduce the barrier of entry for content creation and consumption. Our goal is to enable everyone to easily create, simulate and consume immersive experiences as vividly as they can imagine them.
Our Values
1. Be Fearless: Unmute yourself. Test boundaries and get proven right.
2. Remain Adaptable: Stay comfortable in a continuously changing world. If you’re wrong, concede and move on.
3. Educate Your Ego: Selflessly collaborate towards our shared purpose.
Benefits
• Medical, Dental, & Vision
• Equity & IRA
• WFH Hardware (computer, desk, chair, etc.)
Bolt is committed to building a diverse and inclusive environment in which we recognize and value each other’s differences as well as fostering a culture that promotes its core values: Professionalism, Integrity, and Respect. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran.
·
·
2025-11-06
Event Type
Job Posting
TimeMonday, 17 November 20254:24pm - 4:24pm CST
LocationHall 6
United States of America
Bolt Graphics
In-person
Remote
Full Time
Principal Software Engineer – Networking for AI
·
Arm
·
Austin, Texas
Hide Details
SessionJob Postings
DescriptionOur team is responsible for high quality software ecosystem around Arm's current and next generation of processors. This frequently means working with processors and hardware technology not yet available to the public! We work on a range of development platforms, software models, FPGAs and early silicon.
You will join a wonderful team of Software Engineers who share a passion for wanting to stamp their mark on the future of computing. Our team plays a meaningful role in making Arm platform successful for AI data centers, cloud network infrastructure and building networking appliances. If you are passionate about innovative technologies and improving software quality, then we would like to hear from you.
You will join a wonderful team of Software Engineers who share a passion for wanting to stamp their mark on the future of computing. Our team plays a meaningful role in making Arm platform successful for AI data centers, cloud network infrastructure and building networking appliances. If you are passionate about innovative technologies and improving software quality, then we would like to hear from you.
RequirementsAs a Principal Software Engineer in Infrastructure Application Solutions Networking team, you will be working on networking software stack for AI applications. You will be owning the product definition from inception to delivery. The responsibilities include:
· Driving overall system architecture and design of all individual components of AI NW software stack to ensure flawless operation of the entire product on Arm platform.
· Benchmarking, analyzing and optimizing the network software stack to provide best performance on Arm platform for running AI workloads.
· Working with open-source communities and key global partners to craft and release key software components aligned with Arm architecture.
· Collaborate with partners and customers across the globe to build and deliver high quality networking software stacks for Arm platform.
Candidate should have master’s/bachelor's degree in computer science or an equivalent STEM degree or equivalent experience in the industry. In addition, candidate should:
· have a deep understanding of the requirements and functionalities of high-performance networking software with at least 15 years of experience in leading software product delivery.
· have outstanding grasp of computer architecture and operating systems and in-depth knowledge of data structures, algorithms and multi-core C/ C++ programming.
· be motivated to accept a variety of responsibilities in contributing to Arm’s success and capable of aspiring and mentoring junior members of the team.
· have excellent communication and presentation skills with the ability to generate consistent, complete and concise written specifications.
We offer a hybrid approach to home and office working to provide an adaptable experience for all employees. We expect some working time to be spent in office, to promote a strong collaborative environment with good team integration but are accommodating to different home working requirements.
Our 10x mindset guides how we engineer, collaborate, and grow.
Company DescriptionArm is the top tier supplier of microprocessor technology, offering a wide range of processor IPs to address performance, power and cost requirements for almost all application markets. Combining a multifaceted ecosystem with over 1,000 partners delivering silicon, we have shipped more than 90 billion processors! Our technology is at the heart of a computing and connectivity revolution that is redefining the way people live, and businesses operate.
·
·
2025-11-06
Event Type
Job Posting
TimeMonday, 17 November 20254:24pm - 4:24pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Monday, 17 November 2025 4:24pm-4:25pm Hall 6
Director of Product Management, Infrastructure AI / ML
·
Arm
·
San Diego, CA; Austin, TX, San Jose, CA
Hide Details
SessionJob Postings
DescriptionArm’s Infrastructure team is building next-generation platforms to power the AI workloads of tomorrow. We’re forming a new product management function to help guide this journey — defining products and strategies that address our customers’ most critical needs in AI infrastructure. This is an opportunity to help shape the product direction of a major strategic investment while also helping build a new team and culture.
As a member of the team, you’ll lead product efforts across multiple layers of the AI infrastructure stack — from the underlying compute platforms to the software development stack to the AI workloads those platforms serve. We’re looking for deeply technical, independent product leaders who thrive in ambiguity and can move seamlessly between product, roadmap, & strategy definition, technical analyses, and customer engagement.
Responsibilities:
Own product definition and execution in partnership with engineering — including customer requirements, product roadmap, and long-term strategy
Drive technology, industry, and competitive analysis & research to inform product definitions and product strategy
Craft and deliver messaging internally and externally up to executives about your products, roadmap, and long-term strategy
Shape and influence a new PM team and function within a growing strategic business area
As a member of the team, you’ll lead product efforts across multiple layers of the AI infrastructure stack — from the underlying compute platforms to the software development stack to the AI workloads those platforms serve. We’re looking for deeply technical, independent product leaders who thrive in ambiguity and can move seamlessly between product, roadmap, & strategy definition, technical analyses, and customer engagement.
Responsibilities:
Own product definition and execution in partnership with engineering — including customer requirements, product roadmap, and long-term strategy
Drive technology, industry, and competitive analysis & research to inform product definitions and product strategy
Craft and deliver messaging internally and externally up to executives about your products, roadmap, and long-term strategy
Shape and influence a new PM team and function within a growing strategic business area
Requirements0+ years experience in product management, systems or solution engineering, or related product leadership role
5+ years experience with complex compute products such as CPUs, GPUs, or SoCs
Strong understanding of datacenter AI workloads and datacenter AI infrastructure hardware & software
Bachelor's or Master's degree or equivalent experience in Electrical or Computer Engineering
Company DescriptionThe future isn’t just about technology — it’s about people and the limitless possibilities AI can unlock for us all. As AI transforms how we live, work, and connect, Arm is at its very foundation, powering the innovations that are shaping our world.
·
·
2025-11-06
Event Type
Job Posting
TimeMonday, 17 November 20254:24pm - 4:25pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Monday, 17 November 2025 4:25pm-4:25pm Hall 6
Power Architecture and Attainment Lead
·
Arm
·
San Diego, CA; Austin, TX, San Jose, CA
Hide Details
SessionJob Postings
DescriptionThe Power Architecture and Attainment Lead role responsible for leading the delivery of SOC execution to meet product specific critical metrics. This work includes power budgeting, use-case analysis, estimation, and optimization for high-volume, sophisticated, SoC platforms on groundbreaking technology nodes across multiple market segments including IoT, AI/ML, compute, automotive, and server.
RequirementsIn this role, you will lead a team passionate about pre-silicon power analysis of SoC product features, from early estimation to final product validation. Working proactively across Arm's SoC and IP product teams you will coordinate the optimization of SoC designs enabling Arm's continued leadership in product power efficiency.
As part of our Architecture team, yours is the opportunity for growth in understanding new use-cases, developing power modeling and crafting industry leading performance-per-watt solutions. We want your talents in promoting a culture of innovation, improving power analysis methodologies, defining relevant PPA metrics and visualizations of results.
We are seeking strong technical leadership, with ability to develop accurate project plans involving multiple teams.
Lead SoC power optimization for high-volume platforms, ensuring efficiency and performance across IoT, AI/ML, compute, automotive, and server markets.
Expertise in RTL and Netlist based power analysis flows with good understanding of SoC physical design flows and simulation/emulation flows.
Knowledge of ASIC design dependencies on power efficiency including technology node, mixed Vt design, standard cell and memory library selection, voltage and power domain partitioning.
Proven experience driving multiple projects and supporting junior engineers.
Appreciation of software use-cases, benchmarks, and workloads and how they interact with hardware low power features like clock and power gating, voltage/frequency scaling, memory/logic retention.
Excellent presentation, interpersonal and communication skills. Able to present technical content inside and outside of Arm.
Company DescriptionArm is the top tier supplier of microprocessor technology, offering a wide range of processor IPs to address performance, power and cost requirements for almost all application markets. Combining a multifaceted ecosystem with over 1,000 partners delivering silicon, we have shipped more than 90 billion processors! Our technology is at the heart of a computing and connectivity revolution that is redefining the way people live, and businesses operate.
·
·
2025-11-06
Event Type
Job Posting
TimeMonday, 17 November 20254:25pm - 4:25pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Sr Software Engineering Manager MPI/SHMEM
·
Hewlett Packard Enterprise (HPE)
·
Frisco, TX
Hide Details
SessionJob Postings
DescriptionWe are seeking a Senior Engineering Manager with experience in SHMEM and MPI user space software development or development of Network Operating Systems (NOS) across switches and NICs, similar to Cisco IOS, Juniper Junos, or Arista EOS . This individual will possess a blend of technical expertise, leadership skills, and an understanding of high-performance computing (HPC) environments.
Key responsibilities
Team leadership and management: Leading, mentoring, and developing a team of software engineers, fostering a collaborative and innovative environment.
Technical direction and strategy: Defining the technical vision and roadmap for projects involving SHMEM and MPI, ensuring alignment with the organization's goals.
Project planning and execution: Overseeing the entire software development lifecycle, including planning, resource allocation, implementation, testing, and delivery.
Technical expertise: Providing guidance on architectural decisions, code quality, and integrating new technologies, specifically focusing on SHMEM and MPI in user space applications.
Collaboration and communication: Working closely with product managers, designers, quality assurance professionals, and other stakeholders to understand requirements and ensure smooth project execution.
SHMEM and MPI expertise: Deep understanding of SHMEM and MPI programming models, including one-sided communication, message passing, collective operations, and synchronization.
Performance optimization: Expertise in optimizing performance for parallel applications using SHMEM and MPI, including techniques for minimizing latency and maximizing bandwidth.
Key responsibilities
Team leadership and management: Leading, mentoring, and developing a team of software engineers, fostering a collaborative and innovative environment.
Technical direction and strategy: Defining the technical vision and roadmap for projects involving SHMEM and MPI, ensuring alignment with the organization's goals.
Project planning and execution: Overseeing the entire software development lifecycle, including planning, resource allocation, implementation, testing, and delivery.
Technical expertise: Providing guidance on architectural decisions, code quality, and integrating new technologies, specifically focusing on SHMEM and MPI in user space applications.
Collaboration and communication: Working closely with product managers, designers, quality assurance professionals, and other stakeholders to understand requirements and ensure smooth project execution.
SHMEM and MPI expertise: Deep understanding of SHMEM and MPI programming models, including one-sided communication, message passing, collective operations, and synchronization.
Performance optimization: Expertise in optimizing performance for parallel applications using SHMEM and MPI, including techniques for minimizing latency and maximizing bandwidth.
RequirementsSkills and qualifications
Strong technical background: Experience in software development methodologies, programming languages (e.g., C/C++, Fortran), and frameworks relevant to HPC and parallel programming.
Deep knowledge of SHMEM and MPI: Proficiency in using OpenSHMEM and MPI libraries for parallel programming, OR deep knowledge of network operating system.
Leadership and management skills: Ability to inspire and motivate teams, set clear expectations, delegate effectively, and manage conflicts constructively.
Problem-solving and decision-making: Strong analytical and critical thinking skills to identify and resolve complex technical and team-related challenges.
Communication and interpersonal skills: Excellent verbal and written communication skills to effectively interact with technical and non-technical stakeholders.
Familiarity with HPC environments: Experience with parallel architectures, distributed systems, job schedulers, and other related technologies commonly used in HPC environments.
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-11-07
Event Type
Job Posting
TimeMonday, 17 November 20254:25pm - 4:25pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
Remote
Full Time
Monday, 17 November 2025 4:25pm-4:26pm Hall 6
Product Manager, Specialized Compute (AI, Edge & Telco)
·
Hewlett Packard Enterprise (HPE)
·
Spring, TX
Hide Details
SessionJob Postings
DescriptionJob Description
Designs, plans, develops and manages a product or portfolio of products throughout the solution portfolio lifecycle: from new product definition or enhancements to existing products; planning, design, forecasting, and production; to end of life.
Management Level Definition:
Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.
Product Manager, Specialized Compute (AI, Edge, & Telco)
We are looking for a highly versatile and strategic Product Manager to join our team. The ideal candidate will be a true "utility player," capable of investigating new opportunities, building compelling business cases, and scoping out technical requirements for server designs across three distinct and rapidly evolving markets: Artificial Intelligence (AI) servers, Edge servers, and servers for the Telco marketplace.
You'll be the driving force behind our product strategy, constantly exploring what's next and translating market needs into tangible product plans.
Key Responsibilities
Investigate New Opportunities: Conduct in-depth market research and competitive analysis to identify emerging trends, customer pain points, and new product opportunities across AI, Edge, and Telco markets.
Build the Business Case: Develop and present data-driven business cases for new product initiatives, including market sizing, financial projections, and strategic alignment with company goals.
Scope Out Requirements: Work closely with engineering, sales, and customers to define and prioritize detailed product requirements and user stories, ensuring they are well-documented and understood by all stakeholders.
Cross-Market Strategy: Navigate the unique technical and business challenges of each market, adapting your approach to meet the diverse needs of AI, Edge, and Telco customers.
Stakeholder Collaboration: Act as the primary liaison between technical teams and business units, championing the product vision and ensuring alignment across the organization.
Designs, plans, develops and manages a product or portfolio of products throughout the solution portfolio lifecycle: from new product definition or enhancements to existing products; planning, design, forecasting, and production; to end of life.
Management Level Definition:
Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.
Product Manager, Specialized Compute (AI, Edge, & Telco)
We are looking for a highly versatile and strategic Product Manager to join our team. The ideal candidate will be a true "utility player," capable of investigating new opportunities, building compelling business cases, and scoping out technical requirements for server designs across three distinct and rapidly evolving markets: Artificial Intelligence (AI) servers, Edge servers, and servers for the Telco marketplace.
You'll be the driving force behind our product strategy, constantly exploring what's next and translating market needs into tangible product plans.
Key Responsibilities
Investigate New Opportunities: Conduct in-depth market research and competitive analysis to identify emerging trends, customer pain points, and new product opportunities across AI, Edge, and Telco markets.
Build the Business Case: Develop and present data-driven business cases for new product initiatives, including market sizing, financial projections, and strategic alignment with company goals.
Scope Out Requirements: Work closely with engineering, sales, and customers to define and prioritize detailed product requirements and user stories, ensuring they are well-documented and understood by all stakeholders.
Cross-Market Strategy: Navigate the unique technical and business challenges of each market, adapting your approach to meet the diverse needs of AI, Edge, and Telco customers.
Stakeholder Collaboration: Act as the primary liaison between technical teams and business units, championing the product vision and ensuring alignment across the organization.
RequirementsEducation and Experience Required:
Bachelor's degree or equivalent in computer science, engineering or related field of study. MBA or advanced degree in computer science, physics, math or engineering preferred.
Proven experience as a Product Manager in the server, data center, or related hardware industry.
Knowledge and Skills:
Strong analytical skills with a knack for translating complex market data into clear, actionable business insights.
Deep understanding of the technical and market dynamics of at least one of the following: AI servers, Edge computing, or Telco infrastructure.
Exceptional communication and presentation skills, with the ability to articulate a vision and build consensus with both technical and non-technical audiences.
A proactive and adaptable mindset, with the ability to manage multiple investigations and projects simultaneously in a fast-paced environment.
Company DescriptionHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
·
·
2025-11-07
Event Type
Job Posting
TimeMonday, 17 November 20254:25pm - 4:26pm CST
LocationHall 6
United States of America
Hewlett Packard Enterprise (HPE)
In-person
Full Time
Monday, 17 November 2025 4:26pm-4:26pm Hall 6
Analog/Mixed Signal Architect
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionAs an Analog Architect, you will spearhead pathfinding efforts and work on early prototypes of innovative analog and mixed-signal solutions for Lighmatter’s next-generation optical-engine products. You will then work closely with the engineering team to take your ideas to high-volume production. This role requires a deep understanding of high-frequency systems-on-chip (SoCs), high-speed (100+ Gbaud) serial and electro-optic interfaces. The role also requires creativity, analytical skills, and clear communication skills. You may represent the company at technical conferences as an example of our technical leadership.
Join a tight-knit team where each individual’s contributions directly influence the success of the company and product. You'll have the opportunity to build a new kind of computer from the ground up and to solve groundbreaking challenges along the way. Work with people who love to build and who thrive in technically diverse environments where great ideas are prioritized.
Responsibilities
Architect high-speed (200Gbaud and beyond) electro-optical interfaces for Lightmatter’s next-generation co-packaged optics (CPO) solutions.
Design next-generation high-speed DACs, linear drivers and TIAs in the latest FinFET process nodes.
Actively collaborate across disciplines—with electronics, photonics, and mechanical engineering teams—to specify the requirements and solutions for circuit blocks, SoCs, debug, and validation.
Collaborate with the product team to develop our future technological and product roadmap in the context of industry trends.
Work closely with test and validation engineers to validate hardware against simulation prediction to ensure high performance and high yield.
Publish and present novel ideas and participate in premier technical conferences.
Join a tight-knit team where each individual’s contributions directly influence the success of the company and product. You'll have the opportunity to build a new kind of computer from the ground up and to solve groundbreaking challenges along the way. Work with people who love to build and who thrive in technically diverse environments where great ideas are prioritized.
Responsibilities
Architect high-speed (200Gbaud and beyond) electro-optical interfaces for Lightmatter’s next-generation co-packaged optics (CPO) solutions.
Design next-generation high-speed DACs, linear drivers and TIAs in the latest FinFET process nodes.
Actively collaborate across disciplines—with electronics, photonics, and mechanical engineering teams—to specify the requirements and solutions for circuit blocks, SoCs, debug, and validation.
Collaborate with the product team to develop our future technological and product roadmap in the context of industry trends.
Work closely with test and validation engineers to validate hardware against simulation prediction to ensure high performance and high yield.
Publish and present novel ideas and participate in premier technical conferences.
RequirementsA Ph.D. degree in Electrical Engineering or similar discipline with at least 5+ years of experience of designing high-speed analog circuits in TSMC N3/N5/N7.
Hands-on experience in high-speed SERDES design in advanced process nodes (7nm and below).
Deep technical background and a proven track record of innovation in their area of expertise.
Strong understanding of how the layout impacts the SERDES performance.
Familiarity with analyzing the impact of package and PCB on SERDES performance.
Familiarity with UCIe, PAM4, and other high-speed SerDes.
Strong background with using circuit and electromagnetic simulation tools needed for high-speed mixed-signal circuit design: Cadence virtuoso, Verilog-A, EMX or equivalent tools.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:26pm - 4:26pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Sales Director
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionAs Sales Director, you will serve as the strategic and operational leader for Lightmatter’s relationships with major hyperscale and enterprise customers. Acting as the “CEO” of your accounts, you will own all aspects of the customer relationship—from design wins and business development to executive alignment and contract negotiation.
This highly visible role requires a unique combination of strategic acumen, technical fluency, and executive relationship management. You’ll work closely with cross-functional teams across engineering, product, operations, and marketing to align Lightmatter’s photonic computing technologies with the world’s most advanced infrastructure providers.
Responsibilities
Strategic Account Leadership
Own and drive the full lifecycle of customer engagement—from opportunity identification through deployment and revenue realization.
Define and lead account strategies that deliver growth, market influence, and long-term partnership value.
Build and maintain trusted executive relationships across procurement, engineering, architecture, and C-suite levels.
Act as the “voice of the customer” within Lightmatter, ensuring alignment of product priorities and strategic initiatives.
Lead cross-functional internal account teams and foster collaboration across the sales organization.
Technology & Product Alignment
Drive technical sales engagements that uncover customer challenges and align Lightmatter’s photonic computing platforms to address them.
Collaborate with Product and Engineering to influence roadmap priorities and secure customer-driven design wins.
Demonstrate a deep understanding of AI datacenter infrastructure, workload trends, and TCO analysis.
Use competitive insights to position Lightmatter’s products as differentiated enablers of performance, efficiency, and scalability.
Go-to-Market & Cross-Functional Collaboration
Partner with Marketing, Product, and Operations to develop joint go-to-market plans and customer engagement programs.
Work with ecosystem partners—including hyperscalers, ISVs, and system integrators—to expand adoption of Lightmatter technologies.
Contribute to regional and global partner strategies, ensuring unified customer experience and execution excellence.
Represent Lightmatter at major industry events, conferences, and customer innovation forums.
Revenue Growth & Operational Execution
Deliver quarterly and annual revenue targets with precision and discipline.
Negotiate and close complex, multi-year agreements in collaboration with Legal, Finance, and Executive leadership.
Provide data-driven insight into pipeline health, deployment timing, and revenue ramp.
Ensure seamless execution of account strategies—balancing long-term partnership development with near-term delivery milestones.
This highly visible role requires a unique combination of strategic acumen, technical fluency, and executive relationship management. You’ll work closely with cross-functional teams across engineering, product, operations, and marketing to align Lightmatter’s photonic computing technologies with the world’s most advanced infrastructure providers.
Responsibilities
Strategic Account Leadership
Own and drive the full lifecycle of customer engagement—from opportunity identification through deployment and revenue realization.
Define and lead account strategies that deliver growth, market influence, and long-term partnership value.
Build and maintain trusted executive relationships across procurement, engineering, architecture, and C-suite levels.
Act as the “voice of the customer” within Lightmatter, ensuring alignment of product priorities and strategic initiatives.
Lead cross-functional internal account teams and foster collaboration across the sales organization.
Technology & Product Alignment
Drive technical sales engagements that uncover customer challenges and align Lightmatter’s photonic computing platforms to address them.
Collaborate with Product and Engineering to influence roadmap priorities and secure customer-driven design wins.
Demonstrate a deep understanding of AI datacenter infrastructure, workload trends, and TCO analysis.
Use competitive insights to position Lightmatter’s products as differentiated enablers of performance, efficiency, and scalability.
Go-to-Market & Cross-Functional Collaboration
Partner with Marketing, Product, and Operations to develop joint go-to-market plans and customer engagement programs.
Work with ecosystem partners—including hyperscalers, ISVs, and system integrators—to expand adoption of Lightmatter technologies.
Contribute to regional and global partner strategies, ensuring unified customer experience and execution excellence.
Represent Lightmatter at major industry events, conferences, and customer innovation forums.
Revenue Growth & Operational Execution
Deliver quarterly and annual revenue targets with precision and discipline.
Negotiate and close complex, multi-year agreements in collaboration with Legal, Finance, and Executive leadership.
Provide data-driven insight into pipeline health, deployment timing, and revenue ramp.
Ensure seamless execution of account strategies—balancing long-term partnership development with near-term delivery milestones.
RequirementsBachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science (MBA preferred).
10+ years of experience in account management, strategic sales, or business development within semiconductor, hyperscale, or cloud infrastructure environments.
Proven success closing large-scale ($100M+) technology partnerships and managing complex, matrixed customer engagements.
Deep technical understanding of AI workloads, datacenter architectures, silicon ecosystems, and procurement cycles.
Demonstrated success influencing customer roadmaps and securing design wins.
Strong communication, negotiation, and presentation skills with the ability to operate effectively across C-suite and engineering stakeholders.
Entrepreneurial mindset, analytical rigor, and passion for innovation in AI and computing.
Willingness to travel
Preferred Experience
Experience collaborating with internal product and engineering teams to influence roadmap and close design wins.
Familiarity with conceptual selling methodologies
Prior exposure to emerging compute technologies such as optical interconnects, accelerators, and photonic architectures.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:26pm - 4:26pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Principal Solution Architect - Passage
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionWe are now looking for an outstanding Principal Solution Architect to join our team. The role’s primary responsibility is to work collaboratively with customers in architecting the next generation of super computers and machine learning systems enabled by Lightmatter’s photonic interconnect technology Passage.
In this role, you will work closely with Tier 1 Semiconductor companies and Cloud Service Provider organizations that are defining the next generation of scale out, HPC, and machine learning systems. You will be working cross functionally within Lightmatter as you define an optimal technical solution. Additionally, you will be collaborating with customers who are domain experts in HPC and ML system architectures to refine these designs based on their application requirements. You should be comfortable supporting deep technical discussions focused on interconnect topologies and how to scale HPC/ML architectures in 1024+ node systems. Excellent interpersonal skills and the ability to work independently are essential to being successful in the role.
Responsibilities
Partner with Lightmatter sales leaders to develop strong relationships with key technical stakeholders, and help them optimize their system architecture by taking advantage of Lightmatter’s interconnect technology
Be a domain expert in high performance computing (HPC) and machine learning system architectures with a focus on high-performance interconnects
Leverage background in HPC/scientific computing algorithms to identify performance bottlenecks related to interconnect and optimize topologies to improve performance
Apply extensive knowledge in high-performance interconnect topologies and function as an expert and principal advisor
Define new and refine existing ideas and design concepts that address scaling HPC and ML system architectures using Lightmatter’s highly disruptive interconnect technology Passage
Explains advanced concepts in HPC/ML system architecture and understands how those concepts relate to other disciplines.
In this role, you will work closely with Tier 1 Semiconductor companies and Cloud Service Provider organizations that are defining the next generation of scale out, HPC, and machine learning systems. You will be working cross functionally within Lightmatter as you define an optimal technical solution. Additionally, you will be collaborating with customers who are domain experts in HPC and ML system architectures to refine these designs based on their application requirements. You should be comfortable supporting deep technical discussions focused on interconnect topologies and how to scale HPC/ML architectures in 1024+ node systems. Excellent interpersonal skills and the ability to work independently are essential to being successful in the role.
Responsibilities
Partner with Lightmatter sales leaders to develop strong relationships with key technical stakeholders, and help them optimize their system architecture by taking advantage of Lightmatter’s interconnect technology
Be a domain expert in high performance computing (HPC) and machine learning system architectures with a focus on high-performance interconnects
Leverage background in HPC/scientific computing algorithms to identify performance bottlenecks related to interconnect and optimize topologies to improve performance
Apply extensive knowledge in high-performance interconnect topologies and function as an expert and principal advisor
Define new and refine existing ideas and design concepts that address scaling HPC and ML system architectures using Lightmatter’s highly disruptive interconnect technology Passage
Explains advanced concepts in HPC/ML system architecture and understands how those concepts relate to other disciplines.
RequirementsBS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
10+ years of work-related experience in a high-tech electronics industry in a system design role or technical customer support role.
Experience defining the system architectures of high-performance compute clusters focused on HPC and/or ML workloads
Customer facing skill set and background as well as the ability to communicate effectively with customers
Action-oriented with strong analytical and problem-solving skills
Strong time-management and organization skills for coordinating and prioritizing multiple projects and initiatives
Excellent written and oral communications skills with the ability to effectively interface with management and engineering
Strong team-working and interpersonal skills
Preferred Qualifications
C/C++ and Python programming skills
Master's or PhD in related science or engineering field
High Performance Computing & Networking
Experience architecting systems with computational accelerators and high-performance interconnects (e.g., NVLink, Infiniband, etc...)
Proficiency profiling scientific computing, and/or machine learning workloads to identify performance bottlenecks related to networking, storage, and compute.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:26pm - 4:26pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:26pm-4:27pm Hall 6
Sr. Hyperscaler Account Manager
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionWe're looking for an experienced Hyperscale - Sr Account Manager to join our team. In this highly visible role, you'll be the face and voice of Lightmatter, taking full ownership of our most strategic, hyperscale accounts. You will be responsible for driving the entire sales cycle, from initial engagement to deal closure, by understanding customer needs and positioning Lightmatter's solutions to address them.
Responsibilities:
Strategic Sales Leadership with the ability develop and execute comprehensive sales strategies to exceed annual sales goals and expand market share within key accounts.
Customer Relationship Management, build and maintain strong, trusted advisor relationships with key influencers and decision-makers across all levels, from C-suite executives to individual engineers.
Solution Selling by leveraging a deep understanding of customer pain points and business objectives to effectively communicate the value of Lightmatter's solutions.
Act as the primary liaison between the customer and internal teams, including engineering, marketing, finance, and legal, to ensure seamless delivery and exceptional customer satisfaction and exceptional cross team collaboration.
Identify, manage, and close new business opportunities. Create accurate sales forecasts and report on pipeline activities to senior management.
Must deliver product feedback to internal business units, ensuring the voice of the customer is represented in go-to-market strategies.
Lead negotiations and successfully close complex deals with large, corporate customers.
Responsibilities:
Strategic Sales Leadership with the ability develop and execute comprehensive sales strategies to exceed annual sales goals and expand market share within key accounts.
Customer Relationship Management, build and maintain strong, trusted advisor relationships with key influencers and decision-makers across all levels, from C-suite executives to individual engineers.
Solution Selling by leveraging a deep understanding of customer pain points and business objectives to effectively communicate the value of Lightmatter's solutions.
Act as the primary liaison between the customer and internal teams, including engineering, marketing, finance, and legal, to ensure seamless delivery and exceptional customer satisfaction and exceptional cross team collaboration.
Identify, manage, and close new business opportunities. Create accurate sales forecasts and report on pipeline activities to senior management.
Must deliver product feedback to internal business units, ensuring the voice of the customer is represented in go-to-market strategies.
Lead negotiations and successfully close complex deals with large, corporate customers.
RequirementsQualifications:
8+ years of experience in the semiconductor or datacenter industry, with at least 5 years in a direct sales or strategic account management role.
Strong understanding of datacenter infrastructure (CPU, GPU, Networking) and machine learning models, proven experience and technical acumen
Proven sales expertise including the ability to drive complex sales processes with a track record of revenue growth and closing greenfield opportunities.
Experience closing and managing $100M+ contract negotiations and agreements
Exceptional written, oral, and presentation skills with the ability to convey complex technical concepts to diverse audiences.
Collaborative, self-motivated, and team-centric attitude, with the ability to navigate large corporate environments and orchestrate cross-functional resources.
Bachelor's degree in Engineering, Computer Science, or a related field is required.
Travel availability of 30% is required and it may increase as the company grows.
Preferred Qualifications
AI/ML and HPC Networking experience
Previous experience as a team lead
Experience with product definition and/or product management role
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:26pm - 4:27pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:27pm-4:27pm Hall 6
Analog IC Design Engineer, High-Speed
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionAbout this Role
Join a cutting-edge team at the forefront of silicon photonics and high-speed transceiver design! As a member of the analog team, you’ll collaborate with our architects and engineers to develop innovative high-speed analog transceiver solutions for next-generation optical and wireline communication systems.
* We are currently hiring for multiple levels for this role. Your level and compensation will be determined by your experience, education, and location.
Responsibilities
Support micro-architecture development with chip architects by conducting feasibility studies
Collaborate with members of our design engineering teams (system, digital, analog, photonics) to define electrical requirements
Design analog/mixed-signal blocks with a focus on transceivers and broadband circuits interfacing with silicon photonics elements
Document design simulations and verifications towards formal design reviews
Drive block-level floorplan, mask design views, and their reviews
Run post-layout and mixed-signal top-level simulations to validate integration
Define production and bench-level test plans
Validate performance of the circuits in the lab
Join a cutting-edge team at the forefront of silicon photonics and high-speed transceiver design! As a member of the analog team, you’ll collaborate with our architects and engineers to develop innovative high-speed analog transceiver solutions for next-generation optical and wireline communication systems.
* We are currently hiring for multiple levels for this role. Your level and compensation will be determined by your experience, education, and location.
Responsibilities
Support micro-architecture development with chip architects by conducting feasibility studies
Collaborate with members of our design engineering teams (system, digital, analog, photonics) to define electrical requirements
Design analog/mixed-signal blocks with a focus on transceivers and broadband circuits interfacing with silicon photonics elements
Document design simulations and verifications towards formal design reviews
Drive block-level floorplan, mask design views, and their reviews
Run post-layout and mixed-signal top-level simulations to validate integration
Define production and bench-level test plans
Validate performance of the circuits in the lab
RequirementsQualifications
MS with 6+ years of industry experience, OR Ph.D. with 3+ years of industry experience
Experience designing Analog-Front-End blocks such as trans-impedance amplifiers (TIA) and Tx Driver
Experience with Tx/Rx equalization techniques and circuits
Familiarity with SERDES architectures and implementations
Solid understanding of CMOS device characteristics, noise, mismatch, linearity, and design trade-offs
Experience with Cadence Design Environment
Ability to work collaboratively with people across multiple functional areas
Preferred Qualifications
Knowledge of 3D Electro-Magnetic (EM) simulation tools is a plus
Experience with testing and validating high-speed analog/mixed-signal circuits
Experience interfacing with silicon photonic modulators (MZM, Ring) is a plus
Successful track record in delivering analog/mixed-signal IPs with 1st-time success while meeting tight schedules
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:27pm - 4:27pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Sr. Manager of Technical Marketing
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionWe are seeking a highly driven and technically savvy Technical Product Marketing Manager to lead technical marketing efforts for our cutting-edge silicon photonics product line. In this strategic role, you will help shape product direction, influence long-term roadmap decisions, and drive successful go-to-market execution.
Responsibilities:
Serve as the technical voice of the product externally, driving positioning, messaging, and content that clearly communicates the value of our silicon photonics solutions.
Collaborate closely with product management, engineering, and sales teams to implement product strategy and ensure alignment with customer needs and market trends.
Analyze the evolving AI data center landscape to inform product direction and ensure competitiveness in bandwidth, power efficiency, and system scalability.
Translate complex technology into compelling customer-facing content, including whitepapers, technical presentations, solution briefs, application notes and more.
Lead and support product launches, ensuring clear articulation of product features and system-level benefits to both technical and business audiences.
Represent the company at industry conferences, tradeshows, and technical forums as a technology expert and thought leader and advocate for silicon photonics.
Responsibilities:
Serve as the technical voice of the product externally, driving positioning, messaging, and content that clearly communicates the value of our silicon photonics solutions.
Collaborate closely with product management, engineering, and sales teams to implement product strategy and ensure alignment with customer needs and market trends.
Analyze the evolving AI data center landscape to inform product direction and ensure competitiveness in bandwidth, power efficiency, and system scalability.
Translate complex technology into compelling customer-facing content, including whitepapers, technical presentations, solution briefs, application notes and more.
Lead and support product launches, ensuring clear articulation of product features and system-level benefits to both technical and business audiences.
Represent the company at industry conferences, tradeshows, and technical forums as a technology expert and thought leader and advocate for silicon photonics.
RequirementsQualifications:
BS or MS in Engineering, Computer Science, or Physics (or equivalent experience).
12+ years of experience in the semiconductor industry, with strong familiarity in optical and networking technologies and system architecture for data center applications.
Proven experience in product marketing or product management in semiconductors, photonics, networking, or AI infrastructure.
Strong understanding of data center architectures, AI/ML workloads, and high-performance interconnect technologies.
Excellent communication and presentation skills, with the ability to engage both technical and executive-level audiences.
Demonstrated experience authoring detailed applications materials and whitepapers.
Experience speaking at industry forums and representation on panels.
Experience interfacing directly with customers and contributing to long-term product and business strategy.
Team management experience including previous experience building and hiring
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:27pm - 4:27pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:27pm-4:28pm Hall 6
Engineering Manager - Photonics Test
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionWe are seeking a technically strong and execution focused Test Engineering Manager to lead the test development, characterization, and validation of semiconductor lasers and photonic integrated circuits (PICs). You will drive the entire test lifecycle from prototyping through volume ramp, while also playing a critical role in program management, foundry coordination, and supply chain alignment. This role offers high impact and visibility in enabling Lightmatter next generation products.
Key Responsibilities:
Define and implement test strategies for PIC characterization, validation, reliability, and manufacturing qualification.
Oversee the design, deployment, and scaling of automated test setups for optical/electrical validation, including probe stations, active alignment systems, and temperature-controlled environments.
Own and drive program-level milestones for test readiness, encompassing test plan definition, execution tracking, schedule risk mitigation, and cross-functional alignment.
Engage with laser and integrated photonics design teams to establish design for test criteria and ensure efficient testability of device characterization DOEs and product designs.
Collaborate cross-functionally with test, design, packaging, firmware, reliability, and systems teams to align test coverage with product and system-level requirements.
Drive smooth transition of test flows from R&D to pilot and high-volume manufacturing, including SPC implementation, yield monitoring, and process optimization.
Coordinate with external foundries, supply chain, and operations to align test capabilities with wafer/die delivery, production timelines, and sourcing constraints.
Establish test plans with external component suppliers and review test reports.
Manage relationships with capital equipment vendors, oversee tool procurement and calibration, and supervise outsourced test and reliability services as needed.
Manage and mentor a team of test engineers supporting laser and photonics test activities at wafer, die, and package levels.
Key Responsibilities:
Define and implement test strategies for PIC characterization, validation, reliability, and manufacturing qualification.
Oversee the design, deployment, and scaling of automated test setups for optical/electrical validation, including probe stations, active alignment systems, and temperature-controlled environments.
Own and drive program-level milestones for test readiness, encompassing test plan definition, execution tracking, schedule risk mitigation, and cross-functional alignment.
Engage with laser and integrated photonics design teams to establish design for test criteria and ensure efficient testability of device characterization DOEs and product designs.
Collaborate cross-functionally with test, design, packaging, firmware, reliability, and systems teams to align test coverage with product and system-level requirements.
Drive smooth transition of test flows from R&D to pilot and high-volume manufacturing, including SPC implementation, yield monitoring, and process optimization.
Coordinate with external foundries, supply chain, and operations to align test capabilities with wafer/die delivery, production timelines, and sourcing constraints.
Establish test plans with external component suppliers and review test reports.
Manage relationships with capital equipment vendors, oversee tool procurement and calibration, and supervise outsourced test and reliability services as needed.
Manage and mentor a team of test engineers supporting laser and photonics test activities at wafer, die, and package levels.
RequirementsRequired Qualifications:
Master’s in Electrical Engineering, Applied Physics, Photonics or related discipline.
12+ years of experience in photonics test engineering,
5+ years of people management experience
Demonstrated experience building and scaling automated optical/electrical test systems.
Proficiency in test automation environments (Python, LabVIEW, or similar).
Experience with program tracking tools (e.g., JIRA, Asana, MS Project) and engineering documentation management.
Familiarity with reliability standards (e.g., Telcordia GR-468) and compliance (e.g., IEC 60825).
Strong analytical, organizational, and cross-functional communication skills.
Experience in integrated photonics such as InP, SiPh, or hybrid platforms.
Preferred Qualifications:
Experience collaborating with foundries and OSAT partners.
Knowledge of supply chain operations and contract manufacturer test integration.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:27pm - 4:28pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Similar Presentations
Monday, 17 November 2025 4:28pm-4:28pm Hall 6
Sr. Staff Photonics Design and Layout Engineer
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionJoin a tight-knit team where each individual’s contributions directly influence the company's and product's success. You'll have the opportunity to build a new kind of computer, including the development of Silicon Photonics-based high-performance optical interconnect solutions for the next generation of AI-ML products from the ground up. Work with people who love to build and who thrive in technically diverse environments where great ideas are prioritized.
Responsibilities:
Design, layout, and test innovative photonic devices
Contribute and own large-scale photonic layouts for high-volume products
Actively collaborate across disciplines, with analog, digital, and physical design teams to tapeout products and characterization devices.
Actively collaborate with the product, sales, and architectural teams to define requirements for device characterization, debugging, and validation.
Provide thought leadership in the area of expertise and be perceived as a subject matter expert
Works on broader organizational projects that require a thorough understanding of photonics
Accountable for results, which may impact the entire function
Contribute to Process Design Kits (PDK) development
Responsibilities:
Design, layout, and test innovative photonic devices
Contribute and own large-scale photonic layouts for high-volume products
Actively collaborate across disciplines, with analog, digital, and physical design teams to tapeout products and characterization devices.
Actively collaborate with the product, sales, and architectural teams to define requirements for device characterization, debugging, and validation.
Provide thought leadership in the area of expertise and be perceived as a subject matter expert
Works on broader organizational projects that require a thorough understanding of photonics
Accountable for results, which may impact the entire function
Contribute to Process Design Kits (PDK) development
RequirementsQualifications:
M.S. in Electrical Engineering, Computer Science, Applied Physics or similar disciplines
8 years and a Master’s degree; PhD with 5 years experience; or equivalent experience.
In-depth knowledge of semiconductor device physics
In-depth knowledge of photonic devices and their modeling algorithms
Experience with large-scale photonic layouts using industry standard and/or custom tools
Demonstrated track record of ownership of integrated silicon photonics components
Proficiency with photonic simulation tools such Ansys FDTD, Tidy3D, Photon Design or similar
Proficiency with scripting languages such as Python
Demonstrated strong problem solving skills, specifically pertaining to problems that do not have obvious solutions
Preferred Qualifications:
Strong project execution skills, with the ability to handle multiple priorities and meet project milestones.
Excellent communication skills, with a demonstrated ability to collaborate effectively with multidisciplinary teams
Demonstrate strong problem-solving skills in problems that do not have obvious solutions
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:28pm - 4:28pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Analog IC Design Engineer, AMS
·
Lightmatter
·
Boston, MA
Hide Details
SessionJob Postings
DescriptionAbout this Role
Join a cutting-edge team at the forefront of silicon photonics and analog circuit design! As a member of the analog team, you’ll collaborate with our architects and engineers to develop innovative analog and mixed-signal (AMS) solutions for next-generation optical and wireline communication systems.
* We are currently hiring for multiple levels for this role. Your level and compensation will be determined by your experience, education, and location.
Responsibilities
Design analog/mixed-signal (AMS) circuits used in control loops, such as data converters, amplifiers, drivers, comparators, bandgap, and more
Support micro-architecture development with chip architects by conducting feasibility studies
Collaborate with members of our design engineering teams (system, digital, analog, photonics/laser) to define electrical requirements
Document design simulations and verifications towards formal design reviews
Drive block-level floorplan, mask design views, and their reviews
Run post-layout and mixed-signal top-level simulations to validate integration
Define production and bench-level test plans
Validate the performance of the circuits in the lab
Join a cutting-edge team at the forefront of silicon photonics and analog circuit design! As a member of the analog team, you’ll collaborate with our architects and engineers to develop innovative analog and mixed-signal (AMS) solutions for next-generation optical and wireline communication systems.
* We are currently hiring for multiple levels for this role. Your level and compensation will be determined by your experience, education, and location.
Responsibilities
Design analog/mixed-signal (AMS) circuits used in control loops, such as data converters, amplifiers, drivers, comparators, bandgap, and more
Support micro-architecture development with chip architects by conducting feasibility studies
Collaborate with members of our design engineering teams (system, digital, analog, photonics/laser) to define electrical requirements
Document design simulations and verifications towards formal design reviews
Drive block-level floorplan, mask design views, and their reviews
Run post-layout and mixed-signal top-level simulations to validate integration
Define production and bench-level test plans
Validate the performance of the circuits in the lab
RequirementsQualifications
MS with 8+ years of relevant experience, OR Ph.D. with 5+ years of industry experience designing analog and mixed-signal circuits
Solid understanding of CMOS device characteristics, noise, mismatch, linearity, and design trade-offs
Experience with Cadence Design Environment
Experience in testing analog circuits in a lab environment
Ability to work collaboratively with people across multiple functional areas
Preferred Qualifications
Experience interfacing with Silicon photonics (MZM, Ring) or laser IC is a plus
Experience in chip top-level design is a plus
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:28pm - 4:28pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Principal Product Line Manager, Optics/Photonics
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionIf you're a collaborative Product Management Leader who has a passion for innovation, solving challenging technical problems, and doing impactful work, consider joining the team at Lightmatter!
As a Principal Product Line Manager, Optics/Photonics, you will be responsible for leading our product definition, rollout, and product introduction to drive design wins with the industry's top semiconductor and cloud vendors for our photonics-enabled solutions. Reporting directly to the Director, Product Line Management, you will work with engineering, sales, operations, finance, and the executive team to accelerate the adoption of Lightmatter products in segment-defining categories.
Responsibilities
Complete the detailed requirements definition (MRD/PRD), product line family/SKU strategy, and commercial market positioning for the company’s silicon photonics-based hardware offerings with a focus on Passage, Lightmatter’s programmable photonic chiplet interconnect. This also includes evaluation/development systems and other demonstration vehicles.
Drive industry partner relationships and the availability of partner hardware solution offerings including lasers, fibers, connectors, and other related optical components.
Manage the roll-out of the products to lead customers and product lifecycle management through the development process all the way to and through the production phases.
Along with sales, pursue and win key customers by producing collaterals and articulating key advantages and value propositions of Lightmatter products through detailed customer proposals.
Develop pricing guidelines, margin analysis, and forecasts establishing competitiveness and profitability of Lightmatter products in support of corporate financial goals and revenue planning.
Represent Lightmatter at key industry forums and speaking events as a corporate leader and subject matter expert.
Develop high-quality, high-value outbound marketing and product technical collaterals in conjunction with product marketing and technical documentation teams.
Brief top industry press, analysts, and investors relative to Lightmatter product strategies, competitive advantages, and other industry trends.
As a Principal Product Line Manager, Optics/Photonics, you will be responsible for leading our product definition, rollout, and product introduction to drive design wins with the industry's top semiconductor and cloud vendors for our photonics-enabled solutions. Reporting directly to the Director, Product Line Management, you will work with engineering, sales, operations, finance, and the executive team to accelerate the adoption of Lightmatter products in segment-defining categories.
Responsibilities
Complete the detailed requirements definition (MRD/PRD), product line family/SKU strategy, and commercial market positioning for the company’s silicon photonics-based hardware offerings with a focus on Passage, Lightmatter’s programmable photonic chiplet interconnect. This also includes evaluation/development systems and other demonstration vehicles.
Drive industry partner relationships and the availability of partner hardware solution offerings including lasers, fibers, connectors, and other related optical components.
Manage the roll-out of the products to lead customers and product lifecycle management through the development process all the way to and through the production phases.
Along with sales, pursue and win key customers by producing collaterals and articulating key advantages and value propositions of Lightmatter products through detailed customer proposals.
Develop pricing guidelines, margin analysis, and forecasts establishing competitiveness and profitability of Lightmatter products in support of corporate financial goals and revenue planning.
Represent Lightmatter at key industry forums and speaking events as a corporate leader and subject matter expert.
Develop high-quality, high-value outbound marketing and product technical collaterals in conjunction with product marketing and technical documentation teams.
Brief top industry press, analysts, and investors relative to Lightmatter product strategies, competitive advantages, and other industry trends.
RequirementsQualifications
12+years of related experience with 8+ years in product management, marketing, applications engineering, and business development roles driving high-complexity semiconductor products to volume production.
Bachelor’s degree in Electrical Engineering or related engineering field.
Previous experience driving products through the full development cycle from business case/definition through development, design-in, production, and EOL cycles.
Experience with a wide range of products and technologies, deployed in datacenters. This includes management, provisioning operations and maintenance of optical elements.
Strong end-to-end understanding of all key aspects of semiconductor chip development.
Demonstrates strong data-driven decision-making skills by effectively collecting, analyzing, and interpreting large datasets.
Must be a collaborative leader providing the understanding of key financial indicators for smarter business decisions.
Must have detailed market and technical knowledge of silicon photonics and/or related optical technologies.
Must have experience facilitating effective communication across functional teams, resulting in a reduction in project misalignments and accelerating delivery timeline.
Preferred Qualifications
Advanced technical degrees related to optics/photonics technology are preferred given the high complexity of the technology.
Self-starter who thrives in a fast-paced, dynamic environment with multiple competing priorities and who finds satisfaction in being accountable to accomplishing results quickly and accurately
Willing and able to learn quickly. Self-starter with a “no task is too big or small” attitude
Broad professional network across relevant industry segments.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:28pm - 4:28pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:28pm-4:29pm Hall 6
Photonics Engineer- Optical Link Bring-Up
·
Lightmatter
·
Boston, MA
Hide Details
SessionJob Postings
DescriptionWe are seeking a highly skilled High-Speed Photonics Engineer with extensive hands-on experience in lab testing high-speed optical links and photonic transceivers. The ideal candidate will have a strong background in waveguide-based high-speed E/O and O/E components, and will be proficient in debugging, data analysis, and RF simulation tools.
Join a tight-knit team where each individual’s contributions directly influence the success of the company and product! You'll have the opportunity to build a new kind of computer from the ground up and to solve groundbreaking challenges along the way. Work with people who love to build and who thrive in technically diverse environments where great ideas are prioritized.
Responsibilities:
Contribute to the bring-up and characterization of high-speed optical components, including modulators and photodetectors, ensuring they meet performance expectations.
Design and execute validation and debug plans aligned with product specs, including link-level electro-optic testing using industry-standard equipment like BERTs, DCAs, VNAs, and AWGs.
Collaborate with multidisciplinary teams to identify and resolve issues across optics, electronics, and packaging, leveraging both lab data and simulation tools such as HFSS, ADS, and Lumerical.
Analyze high-speed signal behavior using eye diagrams, bathtub curves, and equalization techniques (CTLE, DFE, FFE) to improve link quality and system robustness.
Configure and optimize DSP-based SerDes to interface with custom optical modules and ensure seamless system integration.
Automate test procedures and analyze results using Python or MATLAB to streamline validation workflows and support engineering decisions.
Join a tight-knit team where each individual’s contributions directly influence the success of the company and product! You'll have the opportunity to build a new kind of computer from the ground up and to solve groundbreaking challenges along the way. Work with people who love to build and who thrive in technically diverse environments where great ideas are prioritized.
Responsibilities:
Contribute to the bring-up and characterization of high-speed optical components, including modulators and photodetectors, ensuring they meet performance expectations.
Design and execute validation and debug plans aligned with product specs, including link-level electro-optic testing using industry-standard equipment like BERTs, DCAs, VNAs, and AWGs.
Collaborate with multidisciplinary teams to identify and resolve issues across optics, electronics, and packaging, leveraging both lab data and simulation tools such as HFSS, ADS, and Lumerical.
Analyze high-speed signal behavior using eye diagrams, bathtub curves, and equalization techniques (CTLE, DFE, FFE) to improve link quality and system robustness.
Configure and optimize DSP-based SerDes to interface with custom optical modules and ensure seamless system integration.
Automate test procedures and analyze results using Python or MATLAB to streamline validation workflows and support engineering decisions.
RequirementsQualifications:
Advanced degree (PhD preferred) in Electrical Engineering, Photonics, or a related field, with 5+ years of hands-on experience in high-speed optical or photonics engineering.
Experience with chip or system level bring-up
Deep expertise in silicon photonics, high-speed modulators, and electro-optic interconnects, including lab-based bring-up, testing, and troubleshooting.
Proficient with high-speed test equipment (e.g., BERTs, VNAs, DCAs), as well as simulation tools like Cadence Spectre, Keysight ADS, HFSS, and photonic modeling software (e.g., Lumerical).
Strong skills in Python or similar scripting languages for lab automation, data analysis, and result reporting.
Proven ability to collaborate across hardware, software, and design teams, with clear communication and documentation skills.
Preferred Qualifications
Familiarity with NRZ/PAM4 signaling, electro-optic link testing, and relevant standards (IEEE, OIF-CEI).
Solid understanding of analog/RF systems and PCB-level debugging for electro-optical circuits.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:28pm - 4:29pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:29pm-4:29pm Hall 6
Foundry Engineer
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionThe person in this role will be a technology development and manufacturing team member working on planning, developing foundry process technology, manufacturing and characterization for next-generation Lightmatter products. The team will be creating product-specific silicon manufacturing process flow plan, working with supplier and internal core competency team such as package design team, silicon design teams on qualifying technology nodes, characterizing manufacturing processes and monitoring plan for Lightmatter products from product definition through qualification and high-volume manufacturing. It also involves engaging with design and platform engineering teams in addition to the supply chain organization to influence the definition of the product and to leverage the capabilities of the ecosystem from a manufacturing process perspective.
Responsibilities
Lead foundry process technology development, manufacturing strategies and specifications efforts for our highly integrated photonics-based AI platform and our photonics chiplet communication fabric
Establish silicon fabrication process coverage metrics and establish yield expectations and monitoring mechanisms
Provide manufacturing process solutions for integrated digital/analog/photonic/laser devices
Work closely with Foundry suppliers to ensure manufacturing output specifications are being met
Collaborate with the Design-For-Manufacturing (DFM) team early in the design process
Develop silicon technology and capability roadmap to support Lightmatter product requirement.
Develop initial product fabrication qualification and execution plan
Establish metrics and methodology to characterize and ensure reliable product operation at customer sites over the expected product lifetime
Collaborate with design and /layout team to coordinate product tapeout to foundry.
Responsibilities
Lead foundry process technology development, manufacturing strategies and specifications efforts for our highly integrated photonics-based AI platform and our photonics chiplet communication fabric
Establish silicon fabrication process coverage metrics and establish yield expectations and monitoring mechanisms
Provide manufacturing process solutions for integrated digital/analog/photonic/laser devices
Work closely with Foundry suppliers to ensure manufacturing output specifications are being met
Collaborate with the Design-For-Manufacturing (DFM) team early in the design process
Develop silicon technology and capability roadmap to support Lightmatter product requirement.
Develop initial product fabrication qualification and execution plan
Establish metrics and methodology to characterize and ensure reliable product operation at customer sites over the expected product lifetime
Collaborate with design and /layout team to coordinate product tapeout to foundry.
RequirementsQualifications
BS or higher degree in Electrical Engineering, Physics, Materials Engineering/Science, Mechanical Engineering or other related fields
At least 8 years of industry experience and at least 5 years of silicon process experience
Experience bringing products from first silicon to production
Strong knowledge of working and collaborating with foundry
Experience with Silicon foundry processes, technologies, control plan and failures related to Silicon.
Experience with wafer level packaging, 2.5D/3D, TSV and other packaging technology with good understanding on assembly processes, packaging materials, quality and reliability standards, packaging failure mechanism etc is preferred.
Experience with photonic packaging is a big plus
Experience in designing and implementing process improvements while leading cross functional teams.
Preferred Qualifications:
Experience in foundry manufacturing process or process development/integration engineer in any fab foundries
Experience in photonics laser foundry and package integration
MS or PhD in chemistry, materials sciences or physics.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:29pm - 4:29pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Business Development Director
·
Lightmatter
·
Hsinchu City, Taiwan
Hide Details
SessionJob Postings
DescriptionLightmatter is seeking an experienced and entrepreneurial Business Development Director to join our team. In this highly visible role, you’ll be the face and voice of Lightmatter in Taiwan, taking ownership of our most strategic hyperscale accounts and driving new opportunities in one of our most critical markets. You will be responsible for cultivating partnerships, expanding Lightmatter’s presence, and guiding the full business development lifecycle—from initial engagement to long-term strategic growth.
Responsibilities:
Market & Business Development: Identify, cultivate, and expand new business opportunities in Taiwan and the broader APAC region. Build market intelligence to shape Lightmatter’s go-to-market approach and strengthen our competitive position.
Strategic Account Leadership: Develop and execute account strategies for TW based ASIC design houses, ensuring alignment with both customer priorities and Lightmatter’s business objectives.
Partnership & Ecosystem Building: Forge strong relationships with local partners, suppliers, and ecosystem stakeholders to accelerate the adoption of Lightmatter’s technologies.
Customer Relationship Management: Establish and maintain trusted advisor relationships with C-suite executives, procurement teams, and technical leaders, ensuring long-term engagement and loyalty.
Cross-Functional Liaison: Act as the primary point of contact between customers and internal teams (engineering, product, marketing, finance, legal), ensuring seamless collaboration and customer satisfaction.
Solution Positioning: Leverage deep knowledge of datacenter and AI/ML infrastructure to translate customer challenges into Lightmatter solutions, driving value for both sides.
Voice of Customer: Deliver insights and feedback to internal product and business units to guide strategy, roadmap, and product definition.
Responsibilities:
Market & Business Development: Identify, cultivate, and expand new business opportunities in Taiwan and the broader APAC region. Build market intelligence to shape Lightmatter’s go-to-market approach and strengthen our competitive position.
Strategic Account Leadership: Develop and execute account strategies for TW based ASIC design houses, ensuring alignment with both customer priorities and Lightmatter’s business objectives.
Partnership & Ecosystem Building: Forge strong relationships with local partners, suppliers, and ecosystem stakeholders to accelerate the adoption of Lightmatter’s technologies.
Customer Relationship Management: Establish and maintain trusted advisor relationships with C-suite executives, procurement teams, and technical leaders, ensuring long-term engagement and loyalty.
Cross-Functional Liaison: Act as the primary point of contact between customers and internal teams (engineering, product, marketing, finance, legal), ensuring seamless collaboration and customer satisfaction.
Solution Positioning: Leverage deep knowledge of datacenter and AI/ML infrastructure to translate customer challenges into Lightmatter solutions, driving value for both sides.
Voice of Customer: Deliver insights and feedback to internal product and business units to guide strategy, roadmap, and product definition.
RequirementsQualifications:
15+ years of experience in semiconductor, datacenter, or high-performance computing, with at least 5 years in business development, sales, or strategic account management.
Bachelor’s degree in Engineering, Computer Science, Business, or related field.
Strong understanding of datacenter infrastructure (CPU, GPU, networking) with demonstrated technical acumen.
Proven ability to develop markets, build strategic partnerships, and drive complex business cycles, with a track record of revenue growth and closing new opportunities.
Self-motivated and collaborative leader with a track record of driving cross-functional initiatives across organizations partnerships with global ecosystem partners.
Willingness to travel up to 30% in a year
Must be based in Taiwan -
Fluent in both English and Mandarin Chinese, with ability to conduct high-stakes meetings in either language. and fluent in both English and Mandarin.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:29pm - 4:29pm CST
LocationHall 6
Taiwan
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:29pm-4:30pm Hall 6
Staff Machine Learning Systems Researcher
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionLightmatter is seeking a Staff Machine Learning Systems Researcher to join our Machine Learning team. This team is focused on 1) inventing novel hardware systems using Lightmatter technology, and 2) modeling the performance of Lightmatter-enabled systems on both training and inference workloads.
This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips. This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research.
Responsibilities
Stay up to date on the latest advancements in Machine Learning research.
Build tools to model the performance of Passage-enabled systems when running both training and inference workloads for the latest AI models.
Collaborate with our product and solutions architecture teams to design compelling reference platforms for our customers, powered by Lightmatter technology.
Function as the Machine Learning expert in the room.
Publish academic papers at top industry conferences and journals. Help support the publication of whitepapers, blog posts, and other marketing collateral.
This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips. This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research.
Responsibilities
Stay up to date on the latest advancements in Machine Learning research.
Build tools to model the performance of Passage-enabled systems when running both training and inference workloads for the latest AI models.
Collaborate with our product and solutions architecture teams to design compelling reference platforms for our customers, powered by Lightmatter technology.
Function as the Machine Learning expert in the room.
Publish academic papers at top industry conferences and journals. Help support the publication of whitepapers, blog posts, and other marketing collateral.
RequirementsQualifications
PhD in Computer Science, Electrical Engineering, or a related field.
2 - 5 years of industry and/or research experience in the field.
Solid background in Machine Learning systems research and experience with performance evaluation and performance modeling.
Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large Language Model training and inference frameworks.
Academic publications in relevant journals and industry conferences.
Must have knowledge of AI systems, including compute (GPUs, TPUs, etc.) and networking (Ethernet, Infiniband, NVLink, etc.) technologies, and their various topologies, paradigms, and trade-offs.
Ability to independently own projects from conception to completion.
Preferred Qualifications
Demonstrated ability to creatively problem-solve and apply first-principles thinking to generate novel ideas, particularly in ambiguous, evolving environments.
Exceptional skills in communicating complex research outcomes and technical concepts to partners and internal stakeholders, while embodying our value of speaking truth.
Ability to work across research, product, and business functions, rolling up your sleeves to bridge gaps and accelerate outcomes, while demonstrating the core value of "We are one Lightmatter."
Adaptable and versatile, thriving in a high-speed, high-precision environment.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:29pm - 4:30pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:30pm-4:30pm Hall 6
Opto-Mechanical Engineer
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionLightmatter is seeking an experienced Opto-Mechanical Engineer to join our Laser and Photonics Packaging Team. In this role, you will be responsible for the optical and mechanical design, component selection, and packaging of next-generation laser and photonics modules, ensuring optimal performance, reliability, and manufacturability.
Responsibilities
Lead the optical and mechanical design of laser modules and detachable connectors.
Communicate design concepts, technical findings, and project status clearly.
Contribute to optical design of lenses and FAU arrays, and possess a strong understanding of isolator technologies.
Design packaging solutions for DFB lasers in Chip-on-Submount (CoS) configurations and for heterogeneously integrated III-V on Silicon wafers.
Ensure PIC designs are optimized for assembly processes such as wire bonding and flip-chip bonding.
Select critical components, including optical assemblies, electrical connectors and optical connectors.
Collaborate with suppliers and OSATs (Outsourced Semiconductor Assembly and Test) from prototype manufacturing through validation and into volume production.
Collaborate with cross-functional teams to ensure seamless integration and successful product delivery.
Responsibilities
Lead the optical and mechanical design of laser modules and detachable connectors.
Communicate design concepts, technical findings, and project status clearly.
Contribute to optical design of lenses and FAU arrays, and possess a strong understanding of isolator technologies.
Design packaging solutions for DFB lasers in Chip-on-Submount (CoS) configurations and for heterogeneously integrated III-V on Silicon wafers.
Ensure PIC designs are optimized for assembly processes such as wire bonding and flip-chip bonding.
Select critical components, including optical assemblies, electrical connectors and optical connectors.
Collaborate with suppliers and OSATs (Outsourced Semiconductor Assembly and Test) from prototype manufacturing through validation and into volume production.
Collaborate with cross-functional teams to ensure seamless integration and successful product delivery.
RequirementsRequired Qualifications
Bachelor’s or Master’s degree in Optical Engineering, Physics, Mechanical Engineering or a related field.
5+ years of hands-on experience in opto-mechanical design.
Hands-on experience with Zemax for optical design.
Hands-on experience with SolidWorks for 3D modeling.
Experience collaborating with suppliers and OSATs from prototyping to volume production.
Preferred Qualifications
Experience with Lumerical or other optical design software.
Hands-on experience with optical alignment and validation.
Knowledge of optical modules in the datacom industry.
Experience with hermetic and non-hermetic packaging techniques.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:30pm - 4:30pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Product Manager – Infrastructure
·
Arm
·
San Diego, CA; Austin, TX, San Jose, CA
Hide Details
SessionJob Postings
DescriptionAs a Product Manager in Arm’s Infrastructure Line of Business, you will help define and coordinate the delivery of product requirements for our compute technologies. You’ll play a key role in developing features for next-generation solutions used in servers, AI systems, cloud networking, and high-performance computing.
This onsite role, based in Arm’s Austin office, focuses on aligning specific technical requirements with product plans. You’ll collaborate with product, engineering, and architecture teams to support the delivery of compute products that meet real-world needs.
Key Responsibilities
🧩 Feature Planning & Coordination
Work with engineering, architecture, and commercial teams to define and track feature requirements.
Organize and manage incoming requests, ensuring documentation is accurate and up to date.
Support alignment of feature requests with business priorities and product timelines.
Requirements Documentation
Contribute to the creation and maintenance of product requirements for infrastructure-focused products.
Bring together insights from different markets—such as cloud, networking, AI, and HPC—into clear and structured documentation.
Project Coordination
Support the daily coordination of feature development with engineering and program teams.
Track progress and help communicate risks, delays, or changes to product leads.
Customer and Market Insights
Help organize feedback from partners, customer-facing teams, and the broader ecosystem.
Assist in preparing product updates and supporting materials for internal and external use.
This onsite role, based in Arm’s Austin office, focuses on aligning specific technical requirements with product plans. You’ll collaborate with product, engineering, and architecture teams to support the delivery of compute products that meet real-world needs.
Key Responsibilities
🧩 Feature Planning & Coordination
Work with engineering, architecture, and commercial teams to define and track feature requirements.
Organize and manage incoming requests, ensuring documentation is accurate and up to date.
Support alignment of feature requests with business priorities and product timelines.
Requirements Documentation
Contribute to the creation and maintenance of product requirements for infrastructure-focused products.
Bring together insights from different markets—such as cloud, networking, AI, and HPC—into clear and structured documentation.
Project Coordination
Support the daily coordination of feature development with engineering and program teams.
Track progress and help communicate risks, delays, or changes to product leads.
Customer and Market Insights
Help organize feedback from partners, customer-facing teams, and the broader ecosystem.
Assist in preparing product updates and supporting materials for internal and external use.
RequirementsBachelor’s degree in Electrical Engineering, Computer Engineering, or a related field.
5+ years of experience in hardware development, such as chip design, RTL, or compute IP.
Experience working with customers or product teams, ideally in a product management capacity.
Clear and confident communicator who works well across functions.
Familiarity with processor architecture, memory systems, or system-on-chip (SoC) design.
Comfortable working with technical documentation or product planning tools.
Company DescriptionArm provides the industry’s most efficient and highest-performing compute platform, with more than 325 billion Arm-based devices shipped to date. The world's biggest technology companies, including AWS, Microsoft, Google, Meta, NVIDIA and Samsung, are innovating on Arm, all with a shared purpose of meeting the insatiable compute demand required to deliver the unprecedented capabilities and experiences that AI promises. Together with the world’s largest computing ecosystem and over 22 million software developers, we are achieving the impossible from cloud to edge by building the AI experiences of the future for everyone.
·
·
2025-11-09
Event Type
Job Posting
TimeMonday, 17 November 20254:30pm - 4:30pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Monday, 17 November 2025 4:30pm-4:31pm Hall 6
Principal Performance Applications Engineer
·
Arm
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionApplications Engineering is a multifaceted and wide-ranging role that combines deep technical expertise with outstanding interpersonal skills. As a Performance Applications Engineer at Arm, you will mainly work with our partners to guide them through difficult and exciting software technical challenges!
You will engage with Arm's partners through web portal and virtual meetings to tackle sophisticated performance debug and optimization problems revolving around Arm IP and Arm-based systems. You will help to debug hardware performance issues during the SoC bring-up stage. You will support Arm's performance debug tools to help partners understand how hardware features impact the workloads of interest, and how to tune hardware and software to achieve the highest level of performance. As your experience grow, you will develop and present training courses on Arm's SoC, performance tooling, and processes to partner development teams. You will also collaborate closely with other product engineering groups, acting as the voice of the customer to motivate change and improve existing products through raising defects, reviewing documentation, crafting software examples and knowledge articles to facilitate proactive learning.
You will engage with Arm's partners through web portal and virtual meetings to tackle sophisticated performance debug and optimization problems revolving around Arm IP and Arm-based systems. You will help to debug hardware performance issues during the SoC bring-up stage. You will support Arm's performance debug tools to help partners understand how hardware features impact the workloads of interest, and how to tune hardware and software to achieve the highest level of performance. As your experience grow, you will develop and present training courses on Arm's SoC, performance tooling, and processes to partner development teams. You will also collaborate closely with other product engineering groups, acting as the voice of the customer to motivate change and improve existing products through raising defects, reviewing documentation, crafting software examples and knowledge articles to facilitate proactive learning.
RequirementsRequired Skills and Experience :
Bachelor's, Master's, or PhD degree in Computer Engineering, Computer Science, or Electrical Engineering (other subject areas will also be considered with meaningful experience)
Minimum of 10 years of experience in application development and experience with workload performance optimization
Experience doing performance analysis for industry standard benchmarks and datacenter workloads on real and simulated platforms
A deep understanding of application/server class processors
Comprehension of the interaction between software and hardware
Plentiful experience crafting and debugging software in C and C++
Experience with software performance analysis and debug tools and applications, including perf().
Good understanding of the Linux kernel, including how to build
Strong foundational knowledge of SoC architectures, particularly CPU clusters, interconnects, and memory subsystems
Company DescriptionArm provides the industry’s most efficient and highest-performing compute platform, with more than 325 billion Arm-based devices shipped to date. The world's biggest technology companies, including AWS, Microsoft, Google, Meta, NVIDIA and Samsung, are innovating on Arm, all with a shared purpose of meeting the insatiable compute demand required to deliver the unprecedented capabilities and experiences that AI promises. Together with the world’s largest computing ecosystem and over 22 million software developers, we are achieving the impossible from cloud to edge by building the AI experiences of the future for everyone.
·
·
2025-11-09
Event Type
Job Posting
TimeMonday, 17 November 20254:30pm - 4:31pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Monday, 17 November 2025 4:31pm-4:31pm Hall 6
Senior Package Layout Engineer
·
Arm
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionArm has a great opportunity for a Senior Package Layout Engineer in our System-in-Package team! This Engineer will be part of a team responsible for implementing ARM’s next generation of SoC’s in the IoT, Automotive, and Compute spaces. These complex designs use current and emerging 2.5 and 3D technologies and will require you to work closely with IP, PCB, SI/PI and Systems teams in France, US, UK, and other ARM locations as needed as well as our technology partners.
The engineer will assist in the definition, design, and verification of our package designs. The candidate needs to be able to adapt quickly to loosely defined problems and adapt to changes is important.
Layouts using best-known practices for DFM, DFA, Signal and Power Delivery Networks
Work with minimal supervision and approach challenges with enthusiasm and persistence
Bring forward ideas to improve overall team efficiency
Communicate and coordinate with external vendors as necessary
The engineer will assist in the definition, design, and verification of our package designs. The candidate needs to be able to adapt quickly to loosely defined problems and adapt to changes is important.
Layouts using best-known practices for DFM, DFA, Signal and Power Delivery Networks
Work with minimal supervision and approach challenges with enthusiasm and persistence
Bring forward ideas to improve overall team efficiency
Communicate and coordinate with external vendors as necessary
RequirementsRequired Skills and Experience :
An Electrical Engineering degree or equivalent
Experience with 2.5D and 3D package systems and their SI/PI requirements
7+ years of recent experience in the use of Cadence APD & Allegro toolsets
Facilitate standardization by being aware of the bigger picture, including design features which will drive standardization and improve efficiency throughout the department
Company DescriptionArm provides the industry’s most efficient and highest-performing compute platform, with more than 325 billion Arm-based devices shipped to date. The world's biggest technology companies, including AWS, Microsoft, Google, Meta, NVIDIA and Samsung, are innovating on Arm, all with a shared purpose of meeting the insatiable compute demand required to deliver the unprecedented capabilities and experiences that AI promises. Together with the world’s largest computing ecosystem and over 22 million software developers, we are achieving the impossible from cloud to edge by building the AI experiences of the future for everyone.
·
·
2025-11-09
Event Type
Job Posting
TimeMonday, 17 November 20254:31pm - 4:31pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Front-End CAD Technical Program Manager
·
Arm
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionWe are looking for a Front-End CAD Technical Program Manager (TPM) to help coordinate and improve the workflows and tools used in front-end semiconductor design.
This role sits at the intersection of engineering, CAD, and program coordination, supporting teams that develop and maintain EDA tool environments for synthesis, verification, and design automation.
You’ll work closely with CAD engineers, design teams, and tool vendors to ensure that projects stay organized, documentation is clear, and technical updates are delivered smoothly.
This role sits at the intersection of engineering, CAD, and program coordination, supporting teams that develop and maintain EDA tool environments for synthesis, verification, and design automation.
You’ll work closely with CAD engineers, design teams, and tool vendors to ensure that projects stay organized, documentation is clear, and technical updates are delivered smoothly.
RequirementsProgram Coordination
Plan and track CAD-related projects, including timelines, deliverables, and dependencies.
Support communication between engineering and CAD teams to align on goals and progress.
Maintain project trackers, summaries, and meeting notes.
Identify risks or blockers early and help teams adjust schedules when needed.
Engage with activities related to partner alignment, SoW creation & tool evaluation alignment
Cross-Team Communication
Liaise with front-end design and verification teams to collect feedback on tools and flows.
Work with IT and license teams to support compute, storage, and licensing needs.
Be the point of contact between frontend, implementation and various technical councils to track and communicate progress
Documentation and Reporting
Keep technical documentation and process notes up to date.
Summarize project metrics, progress, and lessons learned for internal reports.
Company DescriptionArm provides the industry’s most efficient and highest-performing compute platform, with more than 325 billion Arm-based devices shipped to date. The world's biggest technology companies, including AWS, Microsoft, Google, Meta, NVIDIA and Samsung, are innovating on Arm, all with a shared purpose of meeting the insatiable compute demand required to deliver the unprecedented capabilities and experiences that AI promises. Together with the world’s largest computing ecosystem and over 22 million software developers, we are achieving the impossible from cloud to edge by building the AI experiences of the future for everyone.
https://invitetoapply-arm.icims.com/jobs/15977/front-end-cad-technical-program-manager/job?mode=view
·
·
2025-11-09
Event Type
Job Posting
TimeMonday, 17 November 20254:31pm - 4:31pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Software Engineer, Platform Software
·
Cornelis Networks
·
remote from the United States
Hide Details
SessionJob Postings
DescriptionCornelis Networks is seeking a motivated and talented Software Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining software for our custom hardware platforms. The ideal candidate will have a strong background in C, C++, and Python, with hands-on experience in developing software that interacts directly with hardware. You will also contribute to our DevOps and continuous integration (CI) processes, ensuring the reliability and efficiency of our development lifecycle. This is a mid-level position ideal for an engineer with approximately five years of experience who is passionate about working at the intersection of hardware and software.
Key Responsibilities:
Design, develop, and test software for our custom hardware platforms using C, C++, and Python.
Collaborate with hardware engineers to define software requirements and ensure seamless hardware-software integration.
Develop and maintain low-level drivers and firmware for various hardware components.
Develop and maintain the command-line interface (CLI) for our hardware platforms.
Participate in the entire software development lifecycle, from concept and design to testing and deployment.
Contribute to the improvement of our DevOps and CI/CD pipelines.
Troubleshoot and resolve software and hardware-related issues.
Write and maintain clear and comprehensive technical documentation.
Participate in code reviews to ensure code quality and adherence to best practices.
Minimum Qualifications:
Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
Approximately 5 years of professional software development experience.
Proficiency in C, C++, and Python.
Experience working in a Linux development environment.
Experience developing software for custom hardware platforms.
Understanding of hardware-software interaction, including low-level interfaces (e.g., SPI, I2C, UART).
Familiarity with DevOps principles and CI/CD tools (e.g., Jenkins, Git).
Strong problem-solving and debugging skills.
Excellent communication and teamwork skills.
Preferred Qualifications:
Experience with embedded systems and real-time operating systems (RTOS).
Experience with OpenBMC (Yocto) and/or Network Operating Systems (NOS).
Experience with CVE (Common Vulnerabilities and Exposures) analysis and resolution.
Experience with scripting languages for automation.
Knowledge of agile development methodologies.
Location: This is a remote position for employees residing within the United States
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities:
Design, develop, and test software for our custom hardware platforms using C, C++, and Python.
Collaborate with hardware engineers to define software requirements and ensure seamless hardware-software integration.
Develop and maintain low-level drivers and firmware for various hardware components.
Develop and maintain the command-line interface (CLI) for our hardware platforms.
Participate in the entire software development lifecycle, from concept and design to testing and deployment.
Contribute to the improvement of our DevOps and CI/CD pipelines.
Troubleshoot and resolve software and hardware-related issues.
Write and maintain clear and comprehensive technical documentation.
Participate in code reviews to ensure code quality and adherence to best practices.
Minimum Qualifications:
Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
Approximately 5 years of professional software development experience.
Proficiency in C, C++, and Python.
Experience working in a Linux development environment.
Experience developing software for custom hardware platforms.
Understanding of hardware-software interaction, including low-level interfaces (e.g., SPI, I2C, UART).
Familiarity with DevOps principles and CI/CD tools (e.g., Jenkins, Git).
Strong problem-solving and debugging skills.
Excellent communication and teamwork skills.
Preferred Qualifications:
Experience with embedded systems and real-time operating systems (RTOS).
Experience with OpenBMC (Yocto) and/or Network Operating Systems (NOS).
Experience with CVE (Common Vulnerabilities and Exposures) analysis and resolution.
Experience with scripting languages for automation.
Knowledge of agile development methodologies.
Location: This is a remote position for employees residing within the United States
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:31pm - 4:31pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
Monday, 17 November 2025 4:31pm-4:32pm Hall 6
GPU Systems Engineer
·
Hudson River Trading
·
New York, Chicago or Seattle, WA (Hybrid)
Hide Details
SessionJob Postings
DescriptionHudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our exceptionally sophisticated HPC/AI research environment.
Joining our Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable our trading and research to run 24/7 across the globe. We design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes.
Responsibilities
- Design, build, and optimize large-scale distributed GPU compute clusters
- Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
- Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
- Automate system deployment, monitoring, and troubleshooting across thousands of nodes
- Collaborate with research, and engineering teams to support evolving workloads
- Own critical infrastructure projects — from concept to implementation and support
- Test and deploy new hardware and software, and partner with vendors to resolve complex issues
Joining our Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable our trading and research to run 24/7 across the globe. We design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes.
Responsibilities
- Design, build, and optimize large-scale distributed GPU compute clusters
- Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
- Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
- Automate system deployment, monitoring, and troubleshooting across thousands of nodes
- Collaborate with research, and engineering teams to support evolving workloads
- Own critical infrastructure projects — from concept to implementation and support
- Test and deploy new hardware and software, and partner with vendors to resolve complex issues
Requirements* 5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles *
Extensive experience in Linux system installation, performance tuning, and troubleshooting *
Expertise in troubleshooting distributed GPU workloads *
Deep knowledge around GPU optimization and performance
* Proficiency in Python scripting and automation frameworks *
CUDA or C/C++ experience is a plus *
Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink *
Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef) *
Comfortable diagnosing complex system issues at the hardware, OS, and network levels *
Strong communication and organizational skills; able to collaborate across diverse technical teams *
Thrive in fast-paced environments and excited by high-impact work
Company DescriptionHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:31pm - 4:32pm CST
LocationHall 6
United States of America
Hudson River Trading
In-person
Remote
Full Time
Monday, 17 November 2025 4:32pm-4:32pm Hall 6
ASIC Verification Engineer - Automation
·
Cornelis Networks
·
remote
Hide Details
SessionJob Postings
DescriptionCornelis Networks builds world-class SoCs enabling high performance computing, data analytics, and AI interconnect solutions. We are expanding our Design Verification (DV) organization with engineers who are passionate about tooling, flows, automation, and AI/ML that scale verification to first-pass silicon success.
We are seeking an ASIC Verification Engineer – Automation to own and evolve the tools, flows, automation, and AI capabilities across the entire DV lifecycle—from UVM testbench bring-up and coverage analytics to large-scale regressions, CI/CD, intelligent triage, and release pipelines. You will collaborate with software, hardware, RTL design, emulation, and post-silicon teams to deliver robust, reproducible, and data-driven DV at scale. Ideal candidates combine hands-on ASIC DV experience with a strong focus on automation, infrastructure, and AI-assisted workflows.
Key Responsibilities:
- Architect, implement, and maintain DV automation, regression infrastructure, and CI/CD pipelines.
- Build scalable, reliable pipelines for multi-simulator execution (VCS, Xcelium, Questa).
- Manage coverage collection/merge, results triage, flake detection, and auto-bisection.
- Apply AI/ML for DV acceleration, log/wave summarization, anomaly detection, failure clustering, and predictive test selection.
- Develop and maintain high-quality datasets, heuristics, and models for bug triage and assignment.
- Standardize tooling, environment setups, runbooks, and automated workflows.
- Integrate lint/CDC/formal flows, observability dashboards (Grafana/Prometheus/ELK), and performance metrics.
- Collaborate with DV and design engineers to ensure coverage closure, debuggability, and reproducibility.
- Mentor peers and document best practices for automation and AI-assisted DV.
Minimum Qualifications:
B.S. in EE, CE, CS, or related field.
5+ years (Mid-Level) / 8–10+ years (Senior) in ASIC DV and DV/EDA automation.
Proficiency in SystemVerilog, UVM, and RTL debugging; experience with at least one major simulator (VCS preferred) and coverage tools.
Strong scripting skills (Python, Shell, Tcl, Make/CMake) and Linux proficiency (containers included).
Hands-on Git/GitHub experience, including CI/CD, protected branches, and workflow automation.
Practical experience applying ML/AI to DV flows, triage, or operations; experience with Python ML/data stack.
Familiarity with job schedulers (SLURM/LSF/PBS/SGE) and license-aware scheduling.
Preferred Qualifications:
M.S. in EE, CE, CS, or related.
Domain expertise in high-speed networking: 50G/100G/400G Ethernet MAC/PCS, UDP/TCP/IP, RDMA/RoCE, IPsec.
Deep AI/ML experience for DV: LLMs for summarization, vector stores (FAISS/Milvus), prompt design, MLOps tools, and model serving at regression scale.
Experience with emulation/prototyping (Palladium, ZeBu, Protium, FPGA) integrated into DV flows.
Observability and metrics-driven operations experience; GitHub Enterprise administration; cloud or hybrid HPC for EDA/model workloads.
Location: This is a remote position for employees residing within the United States
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
We are seeking an ASIC Verification Engineer – Automation to own and evolve the tools, flows, automation, and AI capabilities across the entire DV lifecycle—from UVM testbench bring-up and coverage analytics to large-scale regressions, CI/CD, intelligent triage, and release pipelines. You will collaborate with software, hardware, RTL design, emulation, and post-silicon teams to deliver robust, reproducible, and data-driven DV at scale. Ideal candidates combine hands-on ASIC DV experience with a strong focus on automation, infrastructure, and AI-assisted workflows.
Key Responsibilities:
- Architect, implement, and maintain DV automation, regression infrastructure, and CI/CD pipelines.
- Build scalable, reliable pipelines for multi-simulator execution (VCS, Xcelium, Questa).
- Manage coverage collection/merge, results triage, flake detection, and auto-bisection.
- Apply AI/ML for DV acceleration, log/wave summarization, anomaly detection, failure clustering, and predictive test selection.
- Develop and maintain high-quality datasets, heuristics, and models for bug triage and assignment.
- Standardize tooling, environment setups, runbooks, and automated workflows.
- Integrate lint/CDC/formal flows, observability dashboards (Grafana/Prometheus/ELK), and performance metrics.
- Collaborate with DV and design engineers to ensure coverage closure, debuggability, and reproducibility.
- Mentor peers and document best practices for automation and AI-assisted DV.
Minimum Qualifications:
B.S. in EE, CE, CS, or related field.
5+ years (Mid-Level) / 8–10+ years (Senior) in ASIC DV and DV/EDA automation.
Proficiency in SystemVerilog, UVM, and RTL debugging; experience with at least one major simulator (VCS preferred) and coverage tools.
Strong scripting skills (Python, Shell, Tcl, Make/CMake) and Linux proficiency (containers included).
Hands-on Git/GitHub experience, including CI/CD, protected branches, and workflow automation.
Practical experience applying ML/AI to DV flows, triage, or operations; experience with Python ML/data stack.
Familiarity with job schedulers (SLURM/LSF/PBS/SGE) and license-aware scheduling.
Preferred Qualifications:
M.S. in EE, CE, CS, or related.
Domain expertise in high-speed networking: 50G/100G/400G Ethernet MAC/PCS, UDP/TCP/IP, RDMA/RoCE, IPsec.
Deep AI/ML experience for DV: LLMs for summarization, vector stores (FAISS/Milvus), prompt design, MLOps tools, and model serving at regression scale.
Experience with emulation/prototyping (Palladium, ZeBu, Protium, FPGA) integrated into DV flows.
Observability and metrics-driven operations experience; GitHub Enterprise administration; cloud or hybrid HPC for EDA/model workloads.
Location: This is a remote position for employees residing within the United States
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
B.S. in EE, CE, CS, or related field.
5+ years (Mid-Level) / 8–10+ years (Senior) in ASIC DV and DV/EDA automation.
Proficiency in SystemVerilog, UVM, and RTL debugging; experience with at least one major simulator (VCS preferred) and coverage tools.
Strong scripting skills (Python, Shell, Tcl, Make/CMake) and Linux proficiency (containers included).
Hands-on Git/GitHub experience, including CI/CD, protected branches, and workflow automation.
Practical experience applying ML/AI to DV flows, triage, or operations; experience with Python ML/data stack.
Familiarity with job schedulers (SLURM/LSF/PBS/SGE) and license-aware scheduling.
Preferred Qualifications:
M.S. in EE, CE, CS, or related.
Domain expertise in high-speed networking: 50G/100G/400G Ethernet MAC/PCS, UDP/TCP/IP, RDMA/RoCE, IPsec.
Deep AI/ML experience for DV: LLMs for summarization, vector stores (FAISS/Milvus), prompt design, MLOps tools, and model serving at regression scale.
Experience with emulation/prototyping (Palladium, ZeBu, Protium, FPGA) integrated into DV flows.
Observability and metrics-driven operations experience; GitHub Enterprise administration; cloud or hybrid HPC for EDA/model workloads.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:32pm - 4:32pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
AI/ML Performance and Software Engineers
·
Arm
·
Austin, Texas
Hide Details
SessionJob Postings
DescriptionJob Overview:
The Performance Engineering Team plays a central role in enabling and optimizing performance across Arm’s compute systems. The team’s charter is to model, measure, and optimize performance at scale, ensuring Arm-based solutions achieve world-class efficiency and throughput for diverse workloads—from AI training and inference to scientific and data-intensive computing.
The Performance Engineering Team plays a central role in enabling and optimizing performance across Arm’s compute systems. The team’s charter is to model, measure, and optimize performance at scale, ensuring Arm-based solutions achieve world-class efficiency and throughput for diverse workloads—from AI training and inference to scientific and data-intensive computing.
RequirementsResponsibilities:
The System Engineering team is looking for AI/ML, Software, and Performance Engineers that will be responsible for application performance and benchmarking to enable ARM’s customer base in the datacenter space.
Ownership of system performance for AI workloads and related software tools
Collaboration with platform, interconnect, software, storage and system management engineering teams to perform system-scale testing and validation
Oversight of support functions such as programs management, quality, and DevOps.
Core Hiring Focus:
We are expanding our Performance Engineering team and seeking individuals passionate about pushing the limits of AI performance on systems built around Arm platforms. Key areas of recruitment include:
Performance Modeling Engineers: Develop analytical and simulation-based performance models for large-scale AI/ML systems.
AI and ML Performance Engineers: Optimize LLM and generative model training/inference workloads on Arm-based systems.
Systems and Networking Engineers: Advance interconnect and collective communication performance across multi-node clusters, reduce system jitter.
Storage Performance Engineers: Design and optimize parallel file system and near computer storage solutions for AI/ML workloads.
Resilience and Reliability Engineers: Innovate in checkpointing, recovery, and resilient distributed training.
Benchmarking Specialists: Lead evaluation and comparison of Arm-based performance using industry-standard metrics.
Hardware and DC Engineers
In Return:
Be part of a groundbreaking team influencing the next generation of Arm systems for AI/ML computing!
Collaborate with top engineers and vendors to develop industry-leading AI systems.
Access professional growth through sophisticated project involvement and multidisciplinary teamwork.
Join a company committed to diversity and inclusion, where your work matters and drives global progress!
Company DescriptionArm technology is becoming the platform of choice for compute and AI. The Arm System Engineering team’s mission is to architect, design, and develop scalable compute platforms. Our capabilities span hardware and software, interconnects, system management, storage, physical infrastructure, and performance engineering. We lead customer collaborations, technology evaluation, end-to-end architecture, network strategy, and rigorous performance analysis. The team is developing advanced technologies to deliver innovative, high-performance solutions to power high-performance AI/ML applications.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:32pm - 4:32pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Monday, 17 November 2025 4:32pm-4:33pm Hall 6
Senior Software Engineer, Kubernetes Platform and Fabric Integration
·
Cornelis Networks
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionCornelis Networks is seeking a talented and experienced Senior Software Engineer, Kubernetes Platform and Fabric Integration to join our team and lead the integration of our advanced fabric management software with modern, cloud-native orchestration platforms. In this role, you will be responsible for architecting and developing the bridge between our existing cluster management tools and the Kubernetes ecosystem. You will design, build, and maintain Kubernetes operators, controllers, and other components necessary to ensure our high-performance interconnect solutions can be seamlessly deployed, managed, and scaled in containerized environments. This is a critical role that will directly impact our customers' ability to leverage Cornelis Networks' technology in large-scale, modern data centers.
Key Responsibilities:
- Architect and Design: Lead the design of robust, scalable solutions for integrating Cornelis Networks' platform and fabric management software with Kubernetes.
- Develop Kubernetes Operators: Build and maintain custom Kubernetes Operators and Controllers in Go to manage the lifecycle of our software and hardware components within a cluster.
- Cloud-Native Integration: Develop solutions that allow for the seamless orchestration of our high-performance fabric services and platform management tools alongside other containerized workloads.
- Cluster Management: Work on extending Kubernetes for managing specialized hardware, scheduling, and networking requirements unique to HPC and AI workloads.
- Collaborate: Partner with the core platform, fabric, and hardware teams to ensure a cohesive and performant end-to-end solution.
- Upstream Contribution: Engage with the open-source community and contribute to relevant projects within the cloud-native ecosystem.
- Documentation and Best Practices: Author high-quality technical documentation and champion best practices for software development in a cloud-native environment.
- Leverage AI-powered tools to accelerate software development workflows, including intelligent code generation, refactoring, and performance optimization.
- Apply AI-driven techniques for automated code review, testing, and quality assurance to improve reliability and reduce development cycles.
Minimum Qualifications:
Bachelor's or Master’s degree in Computer Science, Computer Engineering, or a related technical field.
5+ years of professional software development experience.
Proven experience in designing and developing solutions for Kubernetes, including building custom operators/controllers using tools like the Operator SDK or Kubebuilder.
Strong proficiency in Go. Experience with C++ or Python is also valuable.
Deep understanding of Kubernetes architecture, including the control plane, networking (CNI), and storage (CSI) interfaces.
Hands-on experience with container technologies such as Docker or containerd.
Demonstrable experience in integrating existing software platforms or services with Kubernetes.
Preferred Qualifications:
Experience with high-performance computing (HPC) or high-performance networking.
Familiarity with performance-sensitive environments and low-latency application requirements.
Experience with monitoring and observability stacks like Prometheus, Grafana, and Fluentd.
Knowledge of CI/CD principles and experience building deployment pipelines.
Contributions to open-source projects in the Kubernetes or cloud-native ecosystem.
Location: This is a remote position for employees residing within the United States
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities:
- Architect and Design: Lead the design of robust, scalable solutions for integrating Cornelis Networks' platform and fabric management software with Kubernetes.
- Develop Kubernetes Operators: Build and maintain custom Kubernetes Operators and Controllers in Go to manage the lifecycle of our software and hardware components within a cluster.
- Cloud-Native Integration: Develop solutions that allow for the seamless orchestration of our high-performance fabric services and platform management tools alongside other containerized workloads.
- Cluster Management: Work on extending Kubernetes for managing specialized hardware, scheduling, and networking requirements unique to HPC and AI workloads.
- Collaborate: Partner with the core platform, fabric, and hardware teams to ensure a cohesive and performant end-to-end solution.
- Upstream Contribution: Engage with the open-source community and contribute to relevant projects within the cloud-native ecosystem.
- Documentation and Best Practices: Author high-quality technical documentation and champion best practices for software development in a cloud-native environment.
- Leverage AI-powered tools to accelerate software development workflows, including intelligent code generation, refactoring, and performance optimization.
- Apply AI-driven techniques for automated code review, testing, and quality assurance to improve reliability and reduce development cycles.
Minimum Qualifications:
Bachelor's or Master’s degree in Computer Science, Computer Engineering, or a related technical field.
5+ years of professional software development experience.
Proven experience in designing and developing solutions for Kubernetes, including building custom operators/controllers using tools like the Operator SDK or Kubebuilder.
Strong proficiency in Go. Experience with C++ or Python is also valuable.
Deep understanding of Kubernetes architecture, including the control plane, networking (CNI), and storage (CSI) interfaces.
Hands-on experience with container technologies such as Docker or containerd.
Demonstrable experience in integrating existing software platforms or services with Kubernetes.
Preferred Qualifications:
Experience with high-performance computing (HPC) or high-performance networking.
Familiarity with performance-sensitive environments and low-latency application requirements.
Experience with monitoring and observability stacks like Prometheus, Grafana, and Fluentd.
Knowledge of CI/CD principles and experience building deployment pipelines.
Contributions to open-source projects in the Kubernetes or cloud-native ecosystem.
Location: This is a remote position for employees residing within the United States
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
Bachelor's or Master’s degree in Computer Science, Computer Engineering, or a related technical field.
5+ years of professional software development experience.
Proven experience in designing and developing solutions for Kubernetes, including building custom operators/controllers using tools like the Operator SDK or Kubebuilder.
Strong proficiency in Go. Experience with C++ or Python is also valuable.
Deep understanding of Kubernetes architecture, including the control plane, networking (CNI), and storage (CSI) interfaces.
Hands-on experience with container technologies such as Docker or containerd.
Demonstrable experience in integrating existing software platforms or services with Kubernetes.
Preferred Qualifications:
Experience with high-performance computing (HPC) or high-performance networking.
Familiarity with performance-sensitive environments and low-latency application requirements.
Experience with monitoring and observability stacks like Prometheus, Grafana, and Fluentd.
Knowledge of CI/CD principles and experience building deployment pipelines.
Contributions to open-source projects in the Kubernetes or cloud-native ecosystem.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:32pm - 4:33pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
Monday, 17 November 2025 4:33pm-4:33pm Hall 6
AI Performance Engineer
·
Cornelis Networks
·
San Francisco, CA
Hide Details
SessionJob Postings
DescriptionCornelis Networks is seeking an AI Performance Engineer that will optimize training and multi-node inference across next-gen networking silicon and systems—adapters, switches, and the software stack that ties it all together. You’ll partner with architecture, firmware, software, and lighthouse customers to turn lab results into field-proven wins with an emphasis on distributed serving architectures and P99-aware optimizations.
Key Responsibilities:
- Own end-to-end performance for distributed AI workloads (training + multi-node inference) across multi-node clusters and diverse fabrics (Omni-Path, Ethernet, InfiniBand).
- Benchmark, characterize, and tune open-source & industry workloads (e.g., Llama, Mixtral, diffusion, BERT/T5, MLPerf) on current and future compute, storage, and network hardware, including vLLM/TensorRT-LLM/Triton serving paths.
- Design and optimize distributed serving topologies (sharded/replicated, tensor/pipe parallel, MoE expert placement), continuous/adaptive batching, KV-cache sharding/offload (CPU/NVMe) & prefix caching, and token streaming with tight p99/p999 SLOs.
- Optimize inferencing: Validate RDMA/GPUDirect RDMA, congestion control, and collective/point-to-point tradeoffs during inference.
- Design experiment plans to isolate scaling bottlenecks (collectives, kernel hot spots, I/O, memory, topology) and deliver clear, actionable deltas with latency-SLO dashboards and queuing analysis.
- Build crisp proof points that compare Cornelis Omni-Path to competing interconnects; translate data into narratives for sales/marketing and lighthouse customers, including cost-per-token and tokens/sec-per-watt for serving.
- Instrument and visualize performance (Nsight Systems, ROCm/Omnitrace, VTune, perf, eBPF, RCCL/NCCL tracing, app timers) plus serving telemetry (Prometheus/Grafana, OpenTelemetry traces, concurrency/queue depth).
- Evangelize best practices through briefs, READMEs, and conference-level presentations on distributed inference patterns and anti-patterns.
Minimum Qualifications:
B.S. in CS/EE/CE/Math or related
5–7+ years running AI/ML at cluster scale.
Proven ability to set up, run, and analyze AI benchmarks; deep intuition for message passing, collectives, scaling efficiency, and bottleneck hunting for both training and low-latency serving.
Hands-on with distributed training beyond single-GPU (DP/TP/PP, ZeRO, FSDP, sharded optimizers) and distributed inference architectures (replicated vs sharded, tensor/KV parallel, MoE).
Practical experience across AI stacks & comms: PyTorch, DeepSpeed, Megatron-LM, PyTorch Lightning; RCCL/NCCL, MPI/Horovod; Triton Inference Server, vLLM, TensorRT-LLM, Ray Serve, KServe.
Comfortable with compilers (GCC/LLVM/Intel/OneAPI) and MPI stacks; Python + shell power user.
Familiarity with network architectures (Omni-Path/OPA, InfiniBand, Ethernet/RDMA/ROCE) and Linux systems at the performance-tuning level, including NIC offloads, CQ moderation, pacing, ECN/RED.
Excellent written and verbal communication—turn measurements into
persuasion with SLO-driven narratives for inference.
Preferred Qualifications:
M.S. in CS/EE/CE/Math or related
Scheduler expertise (SLURM, PBS) and multi-tenant cluster ops.
Hands-on profiling & tracing of GPU/comm paths (Nsight Systems, Nsight Compute, ROCm tools/rocprof/roctracer/omnitrace, VTune, perf, PCP, eBPF).
Experience with NeMo, DeepSpeed, Megatron-LM, FSDP, and collective ops analysis (AllReduce/AllGather/ReduceScatter/Broadcast).
Background in HPC performance engineering or storage (BeeGFS, Lustre, NVMeoF) for data & checkpoint pipelines.
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities:
- Own end-to-end performance for distributed AI workloads (training + multi-node inference) across multi-node clusters and diverse fabrics (Omni-Path, Ethernet, InfiniBand).
- Benchmark, characterize, and tune open-source & industry workloads (e.g., Llama, Mixtral, diffusion, BERT/T5, MLPerf) on current and future compute, storage, and network hardware, including vLLM/TensorRT-LLM/Triton serving paths.
- Design and optimize distributed serving topologies (sharded/replicated, tensor/pipe parallel, MoE expert placement), continuous/adaptive batching, KV-cache sharding/offload (CPU/NVMe) & prefix caching, and token streaming with tight p99/p999 SLOs.
- Optimize inferencing: Validate RDMA/GPUDirect RDMA, congestion control, and collective/point-to-point tradeoffs during inference.
- Design experiment plans to isolate scaling bottlenecks (collectives, kernel hot spots, I/O, memory, topology) and deliver clear, actionable deltas with latency-SLO dashboards and queuing analysis.
- Build crisp proof points that compare Cornelis Omni-Path to competing interconnects; translate data into narratives for sales/marketing and lighthouse customers, including cost-per-token and tokens/sec-per-watt for serving.
- Instrument and visualize performance (Nsight Systems, ROCm/Omnitrace, VTune, perf, eBPF, RCCL/NCCL tracing, app timers) plus serving telemetry (Prometheus/Grafana, OpenTelemetry traces, concurrency/queue depth).
- Evangelize best practices through briefs, READMEs, and conference-level presentations on distributed inference patterns and anti-patterns.
Minimum Qualifications:
B.S. in CS/EE/CE/Math or related
5–7+ years running AI/ML at cluster scale.
Proven ability to set up, run, and analyze AI benchmarks; deep intuition for message passing, collectives, scaling efficiency, and bottleneck hunting for both training and low-latency serving.
Hands-on with distributed training beyond single-GPU (DP/TP/PP, ZeRO, FSDP, sharded optimizers) and distributed inference architectures (replicated vs sharded, tensor/KV parallel, MoE).
Practical experience across AI stacks & comms: PyTorch, DeepSpeed, Megatron-LM, PyTorch Lightning; RCCL/NCCL, MPI/Horovod; Triton Inference Server, vLLM, TensorRT-LLM, Ray Serve, KServe.
Comfortable with compilers (GCC/LLVM/Intel/OneAPI) and MPI stacks; Python + shell power user.
Familiarity with network architectures (Omni-Path/OPA, InfiniBand, Ethernet/RDMA/ROCE) and Linux systems at the performance-tuning level, including NIC offloads, CQ moderation, pacing, ECN/RED.
Excellent written and verbal communication—turn measurements into
persuasion with SLO-driven narratives for inference.
Preferred Qualifications:
M.S. in CS/EE/CE/Math or related
Scheduler expertise (SLURM, PBS) and multi-tenant cluster ops.
Hands-on profiling & tracing of GPU/comm paths (Nsight Systems, Nsight Compute, ROCm tools/rocprof/roctracer/omnitrace, VTune, perf, PCP, eBPF).
Experience with NeMo, DeepSpeed, Megatron-LM, FSDP, and collective ops analysis (AllReduce/AllGather/ReduceScatter/Broadcast).
Background in HPC performance engineering or storage (BeeGFS, Lustre, NVMeoF) for data & checkpoint pipelines.
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
B.S. in CS/EE/CE/Math or related
5–7+ years running AI/ML at cluster scale.
Proven ability to set up, run, and analyze AI benchmarks; deep intuition for message passing, collectives, scaling efficiency, and bottleneck hunting for both training and low-latency serving.
Hands-on with distributed training beyond single-GPU (DP/TP/PP, ZeRO, FSDP, sharded optimizers) and distributed inference architectures (replicated vs sharded, tensor/KV parallel, MoE).
Practical experience across AI stacks & comms: PyTorch, DeepSpeed, Megatron-LM, PyTorch Lightning; RCCL/NCCL, MPI/Horovod; Triton Inference Server, vLLM, TensorRT-LLM, Ray Serve, KServe.
Comfortable with compilers (GCC/LLVM/Intel/OneAPI) and MPI stacks; Python + shell power user.
Familiarity with network architectures (Omni-Path/OPA, InfiniBand, Ethernet/RDMA/ROCE) and Linux systems at the performance-tuning level, including NIC offloads, CQ moderation, pacing, ECN/RED.
Excellent written and verbal communication—turn measurements into persuasion with SLO-driven narratives for inference.
Preferred Qualifications:
M.S. in CS/EE/CE/Math or related
Scheduler expertise (SLURM, PBS) and multi-tenant cluster ops.
Hands-on profiling & tracing of GPU/comm paths (Nsight Systems, Nsight Compute, ROCm tools/rocprof/roctracer/omnitrace, VTune, perf, PCP, eBPF).
Experience with NeMo, DeepSpeed, Megatron-LM, FSDP, and collective ops analysis (AllReduce/AllGather/ReduceScatter/Broadcast).
Background in HPC performance engineering or storage (BeeGFS, Lustre, NVMeoF) for data & checkpoint pipelines.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:33pm - 4:33pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
ASIC Verification Engineering Manager
·
Cornelis Networks
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionCornelis Networks is hiring a talented ASIC Verification Engineering Manager to help drive innovation and contribute to the development of cutting-edge technologies in the semiconductor industry. In this role, you will be responsible for leading an ASIC Design Verification Team and deliver block level and full chip verification and emulation activities with high quality. You will oversee verification test planning, execution, and the development of innovative verification methodologies while driving functional and code coverage closure.
Key Responsibilities:
This role requires close collaboration with RTL, architecture, software/firmware, emulation, and post-silicon validation teams. You will work across cross-functional teams, engaging and driving. Additionally, you will contribute to the development and execution of a DV strategy that aligns with the company’s objectives for first pass silicon success. You will also be responsible for hiring, training, and supporting a team of ASIC engineers to ensure timely and cost-effective product development. You will also be responsible for the people management aspects to support the organizational goals.
Minimum Qualifications:
15 + years’ experience in ASIC/SoC design verification.
5 + years’ experience leading a team of direct reports.
Expertise in design verification tools such as Synopsys VCS and Verdi.
Proven success in first-pass ASIC development.
Experience managing multiple projects and adjusting priorities with stakeholders.
Proficiency in developing UVM constrained random test benches.
Strong understanding of interpreting functional specifications and creating comprehensive test plans.
B.S. or M.S. in Computer Engineering, Electrical Engineering, or related technical field, or equivalent practical experience.
Preferred Qualifications:
Experience in building UVM environments from scratch.
Previous experience in a startup environment, demonstrating adaptability and a hands-on approach.
Expertise in working with networking System on Chips (SOCs).
Strong leadership in a dynamic, fast-paced development environment.
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities:
This role requires close collaboration with RTL, architecture, software/firmware, emulation, and post-silicon validation teams. You will work across cross-functional teams, engaging and driving. Additionally, you will contribute to the development and execution of a DV strategy that aligns with the company’s objectives for first pass silicon success. You will also be responsible for hiring, training, and supporting a team of ASIC engineers to ensure timely and cost-effective product development. You will also be responsible for the people management aspects to support the organizational goals.
Minimum Qualifications:
15 + years’ experience in ASIC/SoC design verification.
5 + years’ experience leading a team of direct reports.
Expertise in design verification tools such as Synopsys VCS and Verdi.
Proven success in first-pass ASIC development.
Experience managing multiple projects and adjusting priorities with stakeholders.
Proficiency in developing UVM constrained random test benches.
Strong understanding of interpreting functional specifications and creating comprehensive test plans.
B.S. or M.S. in Computer Engineering, Electrical Engineering, or related technical field, or equivalent practical experience.
Preferred Qualifications:
Experience in building UVM environments from scratch.
Previous experience in a startup environment, demonstrating adaptability and a hands-on approach.
Expertise in working with networking System on Chips (SOCs).
Strong leadership in a dynamic, fast-paced development environment.
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
15 + years’ experience in ASIC/SoC design verification.
5 + years’ experience leading a team of direct reports.
Expertise in design verification tools such as Synopsys VCS and Verdi.
Proven success in first-pass ASIC development.
Experience managing multiple projects and adjusting priorities with stakeholders.
Proficiency in developing UVM constrained random test benches.
Strong understanding of interpreting functional specifications and creating comprehensive test plans.
B.S. or M.S. in Computer Engineering, Electrical Engineering, or related technical field, or equivalent practical experience.
Preferred Qualifications:
Experience in building UVM environments from scratch.
Previous experience in a startup environment, demonstrating adaptability and a hands-on approach.
Expertise in working with networking System on Chips (SOCs).
Strong leadership in a dynamic, fast-paced development environment.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:33pm - 4:33pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
Principal ASIC Verification Engineer
·
Cornelis Networks
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionCornelis Networks is hiring a Principal ASIC Verification Engineer with advanced skills and knowledge in key areas required to verify world-class SoCs to be deployed in high performance computing, high performance data analytics, and artificial intelligence interconnect solutions. As a member of the ASIC leadership team with hands-on technical experience, you will be responsible for the verification closure of entire projects, including design modules, sub-systems, and SoCs. You will drive a wide range of activities including test-planning, UVM based testbench development, regression and coverage closure. You will have the opportunity to partner and collaborate with ASIC design, emulation, system hardware and post-silicon teams and help create a first-pass silicon success. A preferred candidate will have 10 + years of relevant experience in networking hardware verification, proven expertise in verifying one or more of the following: 50G, 100G, 400G Ethernet MAC/PCS protocols, UDP, TCP/IP, RDMA/RoCE, IPSec. and their application in high-speed data processing/networking. Experience utilizing AI tools to generate test plans and improve the productivity of verification process and team is highly desirable.
Key Technical Responsibilities:
- Define overall SOC level verification strategy, technical planning, direction
- Enable and drive the development of UVM environments to verify RTL at block, unit, and SoC levels
- Develop and execute functional tests according to verification test plans
Instrument TB for functional and code coverage and drive to closure based on the coverage metrics
- Collaborate with cross-functional teams like design, software, emulation and silicon validation teams towards ensuring the highest design quality
Team Responsibilities:
- Day-to-day guidance and leadership of team members
- Driving results via mentoring, coaching, and counseling
- Education of team in the use of AI tools to enhance productivity and efficiencies
- Generation and enforcement of coding and verification guidelines
Minimum Qualifications:
10 + years of experience with the following:
Hands-on experience with writing code using UVM/System Verilog
Verification for complex SoCs that include multiple clock and reset domains, using VCS or equivalent simulation tools
Debugging fails to the line of RTL, closing out bug fixes, using Verdi or equivalent debug tools
Experience in ground up testbench development
Experience with revision control systems like Git or SVN etc.
B.S. Degree in Computer Engineering, Computer Science, or Electrical Engineering
Preferred Qualifications:
M.S. Degree in Computer Engineering, Computer Science, or Electrical Engineering
15 + years of relevant experience in networking hardware verification, proven expertise in verifying 50G, 100G, 400G Ethernet MAC/PCS protocols, TCP/IP, RDMA/RoCE, IPSec. and their application in high-speed data processing/networking
One or more scripting languages (TCL, Python, Perl, Shell-scripting)
Track record of first-pass success in ASIC and Systems
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Technical Responsibilities:
- Define overall SOC level verification strategy, technical planning, direction
- Enable and drive the development of UVM environments to verify RTL at block, unit, and SoC levels
- Develop and execute functional tests according to verification test plans
Instrument TB for functional and code coverage and drive to closure based on the coverage metrics
- Collaborate with cross-functional teams like design, software, emulation and silicon validation teams towards ensuring the highest design quality
Team Responsibilities:
- Day-to-day guidance and leadership of team members
- Driving results via mentoring, coaching, and counseling
- Education of team in the use of AI tools to enhance productivity and efficiencies
- Generation and enforcement of coding and verification guidelines
Minimum Qualifications:
10 + years of experience with the following:
Hands-on experience with writing code using UVM/System Verilog
Verification for complex SoCs that include multiple clock and reset domains, using VCS or equivalent simulation tools
Debugging fails to the line of RTL, closing out bug fixes, using Verdi or equivalent debug tools
Experience in ground up testbench development
Experience with revision control systems like Git or SVN etc.
B.S. Degree in Computer Engineering, Computer Science, or Electrical Engineering
Preferred Qualifications:
M.S. Degree in Computer Engineering, Computer Science, or Electrical Engineering
15 + years of relevant experience in networking hardware verification, proven expertise in verifying 50G, 100G, 400G Ethernet MAC/PCS protocols, TCP/IP, RDMA/RoCE, IPSec. and their application in high-speed data processing/networking
One or more scripting languages (TCL, Python, Perl, Shell-scripting)
Track record of first-pass success in ASIC and Systems
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
10 + years of experience with the following:
Hands-on experience with writing code using UVM/System Verilog
Verification for complex SoCs that include multiple clock and reset domains, using VCS or equivalent simulation tools
Debugging fails to the line of RTL, closing out bug fixes, using Verdi or equivalent debug tools
Experience in ground up testbench development
Experience with revision control systems like Git or SVN etc.
B.S. Degree in Computer Engineering, Computer Science, or Electrical Engineering
Preferred Qualifications:
M.S. Degree in Computer Engineering, Computer Science, or Electrical Engineering
15 + years of relevant experience in networking hardware verification, proven expertise in verifying 50G, 100G, 400G Ethernet MAC/PCS protocols, TCP/IP, RDMA/RoCE, IPSec. and their application in high-speed data processing/networking
One or more scripting languages (TCL, Python, Perl, Shell-scripting)
Track record of first-pass success in ASIC and Systems
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:33pm - 4:33pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
Monday, 17 November 2025 4:33pm-4:34pm Hall 6
Senior Account Executive - Financial Services Industry (FSI) Sales
·
Cornelis Networks
·
New York, NY
Hide Details
SessionJob Postings
DescriptionCornelis Networks is looking to add a Senior Account Executive to the team. The Senior Account Executive identifies, prospects and develops relationships with key end customers in the Financial Services Industry with the goal of influencing demand for Cornelis Networks products through its global network of channel and OEM partners. This role carries a quota and is focused on driving sales from end customers that leverage HPC, data analytics, and AI for mission critical purposes and benefit from the competitive advantages afforded by Cornelis Networks’ high-performance networking solutions.
Key Responsibilities:
- Formulate and execute direct sales strategies to achieve annual sales targets.
- Identify and engage key FSI end customers and generate sales opportunities.
- Maintain, manage, and build the sales pipeline in a CRM tool and report progress weekly.
- Work closely with channel sales, partner sales and OEM teams to advance sales opportunities.
- Deliver presentations of company solutions to target end customers.
- Foster close collaboration with internal product, marketing, and sales teams to nurture the pipeline.
- Harness the technical partner ecosystem to extend field reach and enhance customer engagement.
- Offer customer and market feedback to internal product teams for continuous improvement.
Required Qualifications:
Bachelor’s degree or higher in a STEM-related field
Minimum of 7 years of success selling High Performance Computing (HPC) or Artificial Intelligence (AI) solutions, with proven track record of meeting or exceeding sales quotas
Proven success in a startup “hunter” sales environment. Must demonstrate history in sales environment where >50% of leads are self-generated.
Proven track record of prospecting, building new relationships, and closing multi-million-dollar partnerships with customers across the financial services industry.
In-depth understanding of the technical sales landscape for high-performance network interconnect technologies and how those technologies apply to financial risk-modeling, monte carlo simulation, fraud detection and other critical workloads in FSI
Established relationships with key ecosystem partners and customers within the financial services industry vertical.
Proficiency in Microsoft Office Suite, Salesforce CRM, and lead-generation tools.
Exemplary adherence to the highest ethical standards and integrity.
Desired Qualifications:
Self-motivated and proactive with desire and initiative to drive growth and achieve personal and company goals.
Comfortable operating within a dynamic high-growth environment.
Experience in solution selling, especially in a technically complex environment
Strong leadership acumen to coordinate cross-functional teams effectively.
Demonstrated ability to tackle intricate challenges through innovative thinking and collaboration.
Exceptional organizational, written & verbal communication and negotiation skills
Effective interpersonal skills with a knack for building lasting relationships.
Aptitude for crafting and executing creative, differentiated strategies for sales growth.
Location: This is a remote role within the United States but does require 50% travel to customer sites, events, trade shows and conferences. Preference is for candidates to reside in the East Coast.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities:
- Formulate and execute direct sales strategies to achieve annual sales targets.
- Identify and engage key FSI end customers and generate sales opportunities.
- Maintain, manage, and build the sales pipeline in a CRM tool and report progress weekly.
- Work closely with channel sales, partner sales and OEM teams to advance sales opportunities.
- Deliver presentations of company solutions to target end customers.
- Foster close collaboration with internal product, marketing, and sales teams to nurture the pipeline.
- Harness the technical partner ecosystem to extend field reach and enhance customer engagement.
- Offer customer and market feedback to internal product teams for continuous improvement.
Required Qualifications:
Bachelor’s degree or higher in a STEM-related field
Minimum of 7 years of success selling High Performance Computing (HPC) or Artificial Intelligence (AI) solutions, with proven track record of meeting or exceeding sales quotas
Proven success in a startup “hunter” sales environment. Must demonstrate history in sales environment where >50% of leads are self-generated.
Proven track record of prospecting, building new relationships, and closing multi-million-dollar partnerships with customers across the financial services industry.
In-depth understanding of the technical sales landscape for high-performance network interconnect technologies and how those technologies apply to financial risk-modeling, monte carlo simulation, fraud detection and other critical workloads in FSI
Established relationships with key ecosystem partners and customers within the financial services industry vertical.
Proficiency in Microsoft Office Suite, Salesforce CRM, and lead-generation tools.
Exemplary adherence to the highest ethical standards and integrity.
Desired Qualifications:
Self-motivated and proactive with desire and initiative to drive growth and achieve personal and company goals.
Comfortable operating within a dynamic high-growth environment.
Experience in solution selling, especially in a technically complex environment
Strong leadership acumen to coordinate cross-functional teams effectively.
Demonstrated ability to tackle intricate challenges through innovative thinking and collaboration.
Exceptional organizational, written & verbal communication and negotiation skills
Effective interpersonal skills with a knack for building lasting relationships.
Aptitude for crafting and executing creative, differentiated strategies for sales growth.
Location: This is a remote role within the United States but does require 50% travel to customer sites, events, trade shows and conferences. Preference is for candidates to reside in the East Coast.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsRequired Qualifications:
Bachelor’s degree or higher in a STEM-related field
Minimum of 7 years of success selling High Performance Computing (HPC) or Artificial Intelligence (AI) solutions, with proven track record of meeting or exceeding sales quotas
Proven success in a startup “hunter” sales environment. Must demonstrate history in sales environment where >50% of leads are self-generated.
Proven track record of prospecting, building new relationships, and closing multi-million-dollar partnerships with customers across the financial services industry.
In-depth understanding of the technical sales landscape for high-performance network interconnect technologies and how those technologies apply to financial risk-modeling, monte carlo simulation, fraud detection and other critical workloads in FSI
Established relationships with key ecosystem partners and customers within the financial services industry vertical.
Proficiency in Microsoft Office Suite, Salesforce CRM, and lead-generation tools.
Exemplary adherence to the highest ethical standards and integrity.
Desired Qualifications:
Self-motivated and proactive with desire and initiative to drive growth and achieve personal and company goals.
Comfortable operating within a dynamic high-growth environment.
Experience in solution selling, especially in a technically complex environment
Strong leadership acumen to coordinate cross-functional teams effectively.
Demonstrated ability to tackle intricate challenges through innovative thinking and collaboration.
Exceptional organizational, written & verbal communication and negotiation skills
Effective interpersonal skills with a knack for building lasting relationships.
Aptitude for crafting and executing creative, differentiated strategies for sales growth.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:33pm - 4:34pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
Monday, 17 November 2025 4:34pm-4:34pm Hall 6
Ethernet ASIC Design Engineer
·
Cornelis Networks
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionCornelis Networks is hiring talented Sr. ASIC Design Engineers with deep experience in one or more of the key areas required to build the world-class SoCs to be deployed in high performance computing, high performance data analytics, and artificial intelligence interconnect solutions. A good candidate will have 15+ years of ASIC design experience, with 10+ years of relevant experience in networking hardware design, proven expertise in 50G, 100G, 400G Ethernet MAC/PCS protocols, TCP/IP, RDMA/RoCE, IPSec. and their application in high-speed data processing/networking.
Key Responsibilities:
- Design and implement advanced Ethernet protocols for next-generation Ethernet switch ASICs, focusing on RTL development.
- Develop microarchitecture specifications for Ethernet protocol blocks.
- Implement Ethernet protocols such as Priority Flow Control, TCP, UDP, RoCEv2, VLAN, ECMP, DCQCN, ECN, and Security in Transmit and Receive pipelines using Verilog/System Verilog.
- Collaborate with verification engineers to create block- and system-level test plans to ensure comprehensive design coverage.
- Define timing constraints for RTL blocks and work with Physical Design engineers to optimize timing closure.
- Support post-silicon validation, collaborating with hardware, firmware, and software teams to debug and resolve ASIC issues.
- Contribute to performance optimization and power-aware design strategies for Ethernet subsystems.
Minimum Qualifications:
B.S. or M.S. degree in Computer Engineering, Electrical Engineering, or related field.
10+ years of industry experience in digital design with proficiency in Verilog and System Verilog.
Experience in RTL design for Ethernet protocols relevant to adapters and switches.
Familiarity with timing closure and modern physical design methodologies.
Proven ability in system-level debug and root cause analysis of technical issues.
Strong verbal and written communication skills.
Preferred Qualifications:
Deep knowledge of Ethernet architecture and networking protocols (L2/L3/L4 layers).
Prior experience with Ethernet MAC integration and development of L2/L3/L4 protocols for ASICs, including system debug.
Expertise in multiple clock domain designs and asynchronous interfaces.
10+ years of experience with scripting languages such as TCL, Python, or Perl.
Familiarity with EDA tools like Design Compiler, Spyglass, or PrimeTime.
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities:
- Design and implement advanced Ethernet protocols for next-generation Ethernet switch ASICs, focusing on RTL development.
- Develop microarchitecture specifications for Ethernet protocol blocks.
- Implement Ethernet protocols such as Priority Flow Control, TCP, UDP, RoCEv2, VLAN, ECMP, DCQCN, ECN, and Security in Transmit and Receive pipelines using Verilog/System Verilog.
- Collaborate with verification engineers to create block- and system-level test plans to ensure comprehensive design coverage.
- Define timing constraints for RTL blocks and work with Physical Design engineers to optimize timing closure.
- Support post-silicon validation, collaborating with hardware, firmware, and software teams to debug and resolve ASIC issues.
- Contribute to performance optimization and power-aware design strategies for Ethernet subsystems.
Minimum Qualifications:
B.S. or M.S. degree in Computer Engineering, Electrical Engineering, or related field.
10+ years of industry experience in digital design with proficiency in Verilog and System Verilog.
Experience in RTL design for Ethernet protocols relevant to adapters and switches.
Familiarity with timing closure and modern physical design methodologies.
Proven ability in system-level debug and root cause analysis of technical issues.
Strong verbal and written communication skills.
Preferred Qualifications:
Deep knowledge of Ethernet architecture and networking protocols (L2/L3/L4 layers).
Prior experience with Ethernet MAC integration and development of L2/L3/L4 protocols for ASICs, including system debug.
Expertise in multiple clock domain designs and asynchronous interfaces.
10+ years of experience with scripting languages such as TCL, Python, or Perl.
Familiarity with EDA tools like Design Compiler, Spyglass, or PrimeTime.
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
B.S. or M.S. degree in Computer Engineering, Electrical Engineering, or related field.
10+ years of industry experience in digital design with proficiency in Verilog and System Verilog.
Experience in RTL design for Ethernet protocols relevant to adapters and switches.
Familiarity with timing closure and modern physical design methodologies.
Proven ability in system-level debug and root cause analysis of technical issues.
Strong verbal and written communication skills.
Preferred Qualifications:
Deep knowledge of Ethernet architecture and networking protocols (L2/L3/L4 layers).
Prior experience with Ethernet MAC integration and development of L2/L3/L4 protocols for ASICs, including system debug.
Expertise in multiple clock domain designs and asynchronous interfaces.
10+ years of experience with scripting languages such as TCL, Python, or Perl.
Familiarity with EDA tools like Design Compiler, Spyglass, or PrimeTime.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:34pm - 4:34pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
Associate Linux Kernel Engineer
·
Cornelis Networks
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionCornelis Networks is hiring a talented Associate Linux Kernel Engineer to help drive innovation and contribute to the development of cutting-edge technologies in the semiconductor industry. In this role, you will be responsible for designing, developing, and optimizing the software stack that powers our revolutionary AI networking fabric, working alongside a team of industry experts to shape the future of high-performance networking solutions.
Key Responsibilities:
- Design and develop high-performance kernel drivers and user-space libraries for our networking hardware.
- Build and optimize networking protocols at L2 (Ethernet), L3 (IP), and L4 (TCP/UDP) layers, tailored for AI/ML workloads.
- Leverage DPDK (Data Plane Development Kit) to create exceptionally fast packet processing pipelines that bypass the kernel for maximum throughput and minimal latency.
- Conduct deep-dive performance analysis and software optimization across the entire stack, identifying and eliminating bottlenecks.
- Collaborate with the hardware team to influence ASIC design and ensure software/hardware co-design principles are met.
- Develop robust testing, validation, and debugging tools for our networking stack.
- Contribute to a culture of technical excellence, continuous improvement, and collaborative problem-solving.
Minimum Qualifications:
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
Proven experience in low-level systems programming with C/C++.
Strong understanding of Linux kernel driver development and internal architecture.
Hands-on experience with DPDK or similar user-space networking frameworks (e.g., VPP, XDP).
Deep knowledge of networking fundamentals and L2, L3, and L4 protocols.
Demonstrated experience in software optimization, profiling, and performance tuning.
A self-motivated and proactive mindset with a strong sense of ownership and the ability to work effectively in a dynamic, fast-paced startup culture.
Excellent teamwork and communication skills.
Preferred Qualifications:
Experience working with Ethernet/Switch ASICs or network processor silicon (e.g., Broadcom, Marvell, NVIDIA, Intel).
Familiarity with RoCE (RDMA over Converged Ethernet) or other RDMA protocols.
Experience in developing software for high-performance network interface cards (NICs) or SmartNICs.
Understanding of the unique networking requirements of distributed AI/ML training workloads (e.g., NCCL, MPI).
Location: This is a remote position for employees residing within the United States
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities:
- Design and develop high-performance kernel drivers and user-space libraries for our networking hardware.
- Build and optimize networking protocols at L2 (Ethernet), L3 (IP), and L4 (TCP/UDP) layers, tailored for AI/ML workloads.
- Leverage DPDK (Data Plane Development Kit) to create exceptionally fast packet processing pipelines that bypass the kernel for maximum throughput and minimal latency.
- Conduct deep-dive performance analysis and software optimization across the entire stack, identifying and eliminating bottlenecks.
- Collaborate with the hardware team to influence ASIC design and ensure software/hardware co-design principles are met.
- Develop robust testing, validation, and debugging tools for our networking stack.
- Contribute to a culture of technical excellence, continuous improvement, and collaborative problem-solving.
Minimum Qualifications:
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
Proven experience in low-level systems programming with C/C++.
Strong understanding of Linux kernel driver development and internal architecture.
Hands-on experience with DPDK or similar user-space networking frameworks (e.g., VPP, XDP).
Deep knowledge of networking fundamentals and L2, L3, and L4 protocols.
Demonstrated experience in software optimization, profiling, and performance tuning.
A self-motivated and proactive mindset with a strong sense of ownership and the ability to work effectively in a dynamic, fast-paced startup culture.
Excellent teamwork and communication skills.
Preferred Qualifications:
Experience working with Ethernet/Switch ASICs or network processor silicon (e.g., Broadcom, Marvell, NVIDIA, Intel).
Familiarity with RoCE (RDMA over Converged Ethernet) or other RDMA protocols.
Experience in developing software for high-performance network interface cards (NICs) or SmartNICs.
Understanding of the unique networking requirements of distributed AI/ML training workloads (e.g., NCCL, MPI).
Location: This is a remote position for employees residing within the United States
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
Proven experience in low-level systems programming with C/C++.
Strong understanding of Linux kernel driver development and internal architecture.
Hands-on experience with DPDK or similar user-space networking frameworks (e.g., VPP, XDP).
Deep knowledge of networking fundamentals and L2, L3, and L4 protocols.
Demonstrated experience in software optimization, profiling, and performance tuning.
A self-motivated and proactive mindset with a strong sense of ownership and the ability to work effectively in a dynamic, fast-paced startup culture.
Excellent teamwork and communication skills.
Preferred Qualifications:
Experience working with Ethernet/Switch ASICs or network processor silicon (e.g., Broadcom, Marvell, NVIDIA, Intel).
Familiarity with RoCE (RDMA over Converged Ethernet) or other RDMA protocols.
Experience in developing software for high-performance network interface cards (NICs) or SmartNICs.
Understanding of the unique networking requirements of distributed AI/ML training workloads (e.g., NCCL, MPI).
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:34pm - 4:34pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
Monday, 17 November 2025 4:34pm-4:35pm Hall 6
Senior Manager, ASIC Infrastructure
·
Cornelis Networks
·
Wayne, PA
Hide Details
SessionJob Postings
DescriptionCornelis Networks is seeking an experienced Senior Manager, ASIC Infrastructure to lead and manage our ASIC Electronic Design Automation (EDA) computing environment. This hands-on leadership role requires deep technical expertise in architecting, implementing, and administering Linux systems and HPC infrastructure to support our ASIC development teams. The successful candidate will be responsible for the stability, scalability, and performance of compute, storage, and platform infrastructure. The ideal candidate combines technical depth with strong leadership skills and a passion for operational excellence.
Key Responsibilities
- Design, implement, and manage a Linux-based HPC environment with 200+ compute nodes to support development of complex Application-Specific Integrated Circuits (ASICs), including AI-driven logic design, simulation and design verification, synthesis, gate-level verification, and design emulation
- Oversee the administration of batch compute systems including SLURM or LSF for optimal workload management
- Manage and optimize NFS systems and clustered storage infrastructure to support engineering workflows
- Oversee observability systems (monitoring, logging, alerting) to ensure infrastructure performance and reliability and to drive continuous improvement in automation and root-cause analysis
- Drive adoption of "Infrastructure as Code" and automated workflows to reduce manual intervention
- Implement and enforce best practices for system availability, performance tuning, capacity planning, and lifecycle management
- Ensure high availability and performance of critical infrastructure services including VNC, NFS, license servers and GitHub
- Collaborate with engineering teams to understand compute requirements and optimize infrastructure accordingly
- Lead capacity planning and infrastructure expansion initiatives
- Manage resources responsible for on-premises hardware installation, maintenance, and monitoring.
- Drive adoption of AI within the infrastructure team and workflows
Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
Minimum 10 years of experience in Linux systems administration with focus on HPC environments, including experience with ASIC (e.g., Synopsys, Cadence) and software development workflows, strong exposure to EDA tools, and software development environments.
Deep expertise with HPC workload managers (SLURM or LSF)
Strong knowledge of NFS and distributed storage systems
Experience implementing and managing monitoring solutions for large-scale computing environments
Proficiency with infrastructure automation tools and scripting languages (Python, Bash, etc.)
Strong troubleshooting and problem-solving skills and leadership abilities
Hands-on technical expertise to be able to drive issue root
cause analysis and remediations
Preferred Qualifications
Experience with Ansible or similar tools for deploying applications or orchestration of workflows
Experience with CI/CD pipelines and DevOps practices
Familiarity with containerization technologies (Docker, Singularity)
Experience with performance tuning and optimization of HPC workloads
Experience with installation and maintenance of locally hosted LLMs for AI training/inference
Experience with cloud-based infrastructure
Location: This is a remote position for employees residing within the United States. Candidates residing locally to the Wayne, PA metro area is preferred.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities
- Design, implement, and manage a Linux-based HPC environment with 200+ compute nodes to support development of complex Application-Specific Integrated Circuits (ASICs), including AI-driven logic design, simulation and design verification, synthesis, gate-level verification, and design emulation
- Oversee the administration of batch compute systems including SLURM or LSF for optimal workload management
- Manage and optimize NFS systems and clustered storage infrastructure to support engineering workflows
- Oversee observability systems (monitoring, logging, alerting) to ensure infrastructure performance and reliability and to drive continuous improvement in automation and root-cause analysis
- Drive adoption of "Infrastructure as Code" and automated workflows to reduce manual intervention
- Implement and enforce best practices for system availability, performance tuning, capacity planning, and lifecycle management
- Ensure high availability and performance of critical infrastructure services including VNC, NFS, license servers and GitHub
- Collaborate with engineering teams to understand compute requirements and optimize infrastructure accordingly
- Lead capacity planning and infrastructure expansion initiatives
- Manage resources responsible for on-premises hardware installation, maintenance, and monitoring.
- Drive adoption of AI within the infrastructure team and workflows
Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
Minimum 10 years of experience in Linux systems administration with focus on HPC environments, including experience with ASIC (e.g., Synopsys, Cadence) and software development workflows, strong exposure to EDA tools, and software development environments.
Deep expertise with HPC workload managers (SLURM or LSF)
Strong knowledge of NFS and distributed storage systems
Experience implementing and managing monitoring solutions for large-scale computing environments
Proficiency with infrastructure automation tools and scripting languages (Python, Bash, etc.)
Strong troubleshooting and problem-solving skills and leadership abilities
Hands-on technical expertise to be able to drive issue root
cause analysis and remediations
Preferred Qualifications
Experience with Ansible or similar tools for deploying applications or orchestration of workflows
Experience with CI/CD pipelines and DevOps practices
Familiarity with containerization technologies (Docker, Singularity)
Experience with performance tuning and optimization of HPC workloads
Experience with installation and maintenance of locally hosted LLMs for AI training/inference
Experience with cloud-based infrastructure
Location: This is a remote position for employees residing within the United States. Candidates residing locally to the Wayne, PA metro area is preferred.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications
Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
Minimum 10 years of experience in Linux systems administration with focus on HPC environments, including experience with ASIC (e.g., Synopsys, Cadence) and software development workflows, strong exposure to EDA tools, and software development environments.
Deep expertise with HPC workload managers (SLURM or LSF)
Strong knowledge of NFS and distributed storage systems
Experience implementing and managing monitoring solutions for large-scale computing environments
Proficiency with infrastructure automation tools and scripting languages (Python, Bash, etc.)
Strong troubleshooting and problem-solving skills and leadership abilities
Hands-on technical expertise to be able to drive issue root
cause analysis and remediations
Preferred Qualifications
Experience with Ansible or similar tools for deploying applications or orchestration of workflows
Experience with CI/CD pipelines and DevOps practices
Familiarity with containerization technologies (Docker, Singularity)
Experience with performance tuning and optimization of HPC workloads
Experience with installation and maintenance of locally hosted LLMs for AI training/inference
Experience with cloud-based infrastructure
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:34pm - 4:35pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
Monday, 17 November 2025 4:35pm-4:35pm Hall 6
Embedded Firmware Engineer
·
Cornelis Networks
·
Wayne, PA
Hide Details
SessionJob Postings
DescriptionCornelis Networks is seeking an Embedded Firmware Engineer with experience writing optimized C code, preferably for fabrics or networks. Ideal candidates will have written C/C++ code with a focus on high performance, optimal efficiency, and low memory footprint. Candidates should have experience writing and debugging C code for embedded processors. The successful candidate who demonstrates strong team-building, collaboration, and leadership skills will have opportunities for growth into a leadership position.
Key Responsibilities
- Develop optimized C code for embedded processors
- Collaborate with architects and hardware engineers when designing software architecture
- Develop and implement standard processes for unit testing; collaborate on CI implementations
- Review design documents and pull requests from other team members
- Create and maintain design documents in collaboration with the engineering team
- Review and provide detailed feedback on firmware and software architecture specifications and design documentation
- Work with the Software Engineering Manager to identify tasks and build schedules
Minimum Qualifications:
Early career to 5 years of experience (we level based on capability)
Bachelor’s degree in Computer Science or a related discipline, or equivalent training and experience
Proficiency in C or C++ (able to read/write bitfields, manage buffers safely, and reason about endianness)
Familiarity with development tools and toolchains, including GCC and/or Clang, Make, CMake, Git, and bug tracking software (e.g., Jira, GitHub)
Familiarity with debugging tools used in embedded environments (e.g., logic analyzers, JTAG debuggers, and innovative logging methods for analysis and debugging)
Comfort working in Linux user space and with basic system tools; familiarity with sockets or message-based I/O
Understanding of binary protocols, including framing, headers, IDs, checksums/CRC, and simple state machines
Exposure to at least one low-speed or board-level interface (I²C/SMBus, SPI, UART) through coursework, labs, or projects
Ability to read technical standards/specifications and translate them into working code and tests
Growth mindset: eager to learn PLDM and MCTP deeply and deliver production-quality code
Preferred Qualifications:
Familiarity with DMTF standards such as MCTP (DSP0236/37/38/39) or PLDM (DSP0240/41/45/48; 0267/0257). Prior production experience is not required—interest and aptitude are sufficient.
Experience with Python for test harnesses, Wireshark dissectors, logic analyzer traces, or OpenBMC tooling (libmctp, libpldm, pldmtool)
Basic understanding of embedded development (RTOS) or Linux kernel subsystems is a plus
Experience with:
ARM or other RISC processors in an embedded environment
RISC-V processors
PCIe/VDM
Location: This is a remote position for employees residing within the United States
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities
- Develop optimized C code for embedded processors
- Collaborate with architects and hardware engineers when designing software architecture
- Develop and implement standard processes for unit testing; collaborate on CI implementations
- Review design documents and pull requests from other team members
- Create and maintain design documents in collaboration with the engineering team
- Review and provide detailed feedback on firmware and software architecture specifications and design documentation
- Work with the Software Engineering Manager to identify tasks and build schedules
Minimum Qualifications:
Early career to 5 years of experience (we level based on capability)
Bachelor’s degree in Computer Science or a related discipline, or equivalent training and experience
Proficiency in C or C++ (able to read/write bitfields, manage buffers safely, and reason about endianness)
Familiarity with development tools and toolchains, including GCC and/or Clang, Make, CMake, Git, and bug tracking software (e.g., Jira, GitHub)
Familiarity with debugging tools used in embedded environments (e.g., logic analyzers, JTAG debuggers, and innovative logging methods for analysis and debugging)
Comfort working in Linux user space and with basic system tools; familiarity with sockets or message-based I/O
Understanding of binary protocols, including framing, headers, IDs, checksums/CRC, and simple state machines
Exposure to at least one low-speed or board-level interface (I²C/SMBus, SPI, UART) through coursework, labs, or projects
Ability to read technical standards/specifications and translate them into working code and tests
Growth mindset: eager to learn PLDM and MCTP deeply and deliver production-quality code
Preferred Qualifications:
Familiarity with DMTF standards such as MCTP (DSP0236/37/38/39) or PLDM (DSP0240/41/45/48; 0267/0257). Prior production experience is not required—interest and aptitude are sufficient.
Experience with Python for test harnesses, Wireshark dissectors, logic analyzer traces, or OpenBMC tooling (libmctp, libpldm, pldmtool)
Basic understanding of embedded development (RTOS) or Linux kernel subsystems is a plus
Experience with:
ARM or other RISC processors in an embedded environment
RISC-V processors
PCIe/VDM
Location: This is a remote position for employees residing within the United States
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
Early career to 5 years of experience (we level based on capability)
Bachelor’s degree in Computer Science or a related discipline, or equivalent training and experience
Proficiency in C or C++ (able to read/write bitfields, manage buffers safely, and reason about endianness)
Familiarity with development tools and toolchains, including GCC and/or Clang, Make, CMake, Git, and bug tracking software (e.g., Jira, GitHub)
Familiarity with debugging tools used in embedded environments (e.g., logic analyzers, JTAG debuggers, and innovative logging methods for analysis and debugging)
Comfort working in Linux user space and with basic system tools; familiarity with sockets or message-based I/O
Understanding of binary protocols, including framing, headers, IDs, checksums/CRC, and simple state machines
Exposure to at least one low-speed or board-level interface (I²C/SMBus, SPI, UART) through coursework, labs, or projects
Ability to read technical standards/specifications and translate them into working code and tests
Growth mindset: eager to learn PLDM and MCTP deeply and deliver production-quality code
Preferred Qualifications:
Familiarity with DMTF standards such as MCTP (DSP0236/37/38/39) or PLDM (DSP0240/41/45/48; 0267/0257). Prior production experience is not required—interest and aptitude are sufficient.
Experience with Python for test harnesses, Wireshark dissectors, logic analyzer traces, or OpenBMC tooling (libmctp, libpldm, pldmtool)
Basic understanding of embedded development (RTOS) or Linux kernel subsystems is a plus
Experience with:
ARM or other RISC processors in an embedded environment
RISC-V processors
PCIe/VDM
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:35pm - 4:35pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
ASIC Design Engineer - Packet Processing & Ethernet
·
Cornelis Networks
·
Wayne, PA
Hide Details
SessionJob Postings
DescriptionCornelis Networks is hiring talented Sr. ASIC Design Engineers with deep experience in one or more of the key areas required to build the world-class SoCs to be deployed in high performance computing, high performance data analytics, and artificial intelligence interconnect solutions. A good candidate will have 15+ years of ASIC design experience, with 10+ years of relevant experience in networking hardware design, proven expertise in 50G, 100G, 400G Ethernet protocols such as TCP/IP, RDMA/RoCE, IPSec. and their application in high-speed data processing/networking.
Key Responsibilities:
- Develop microarchitecture specifications for packet processor and high-speed pipelined data path designs for host ethernet adaptors emphasizing low-latency performance.
- Implement RTL designs using Verilog/System Verilog for high-speed data paths and packet processing logic.
- Collaborate with verification engineers to create block- and system-level test plans to ensure comprehensive design coverage.
- Define timing constraints for RTL blocks and work with Physical Design engineers to optimize timing closure.
- Support post-silicon validation, collaborating with hardware, firmware, and software teams to debug and resolve ASIC issues.
- Contribute to performance optimization and power-aware design strategies for Host Fabric Interface subsystems.
Minimum Qualifications:
B.S. or M.S. degree in Computer Engineering, Electrical Engineering, or related field.
7+ years of post-college experience in digital design with proficiency in Verilog and System Verilog.
Experience in RTL design for high-speed data paths or packet processing in ASICs.
Deep understanding of Host Ethernet adaptor architectures.
Familiarity with timing closure and modern physical design methodologies.
Proven ability in system-level debug and root cause analysis of technical issues.
Strong verbal and written communication skills.
Preferred Qualifications:
Knowledge of Ethernet architecture and networking protocols.
Prior experience with RTL development for Ethernet host adapters and system debug.
Expertise in multiple clock domain designs and asynchronous interfaces.
7+ years of experience with scripting languages such as TCL, Python, or Perl.
Familiarity with EDA tools like Design Compiler, Spyglass, or PrimeTime.
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities:
- Develop microarchitecture specifications for packet processor and high-speed pipelined data path designs for host ethernet adaptors emphasizing low-latency performance.
- Implement RTL designs using Verilog/System Verilog for high-speed data paths and packet processing logic.
- Collaborate with verification engineers to create block- and system-level test plans to ensure comprehensive design coverage.
- Define timing constraints for RTL blocks and work with Physical Design engineers to optimize timing closure.
- Support post-silicon validation, collaborating with hardware, firmware, and software teams to debug and resolve ASIC issues.
- Contribute to performance optimization and power-aware design strategies for Host Fabric Interface subsystems.
Minimum Qualifications:
B.S. or M.S. degree in Computer Engineering, Electrical Engineering, or related field.
7+ years of post-college experience in digital design with proficiency in Verilog and System Verilog.
Experience in RTL design for high-speed data paths or packet processing in ASICs.
Deep understanding of Host Ethernet adaptor architectures.
Familiarity with timing closure and modern physical design methodologies.
Proven ability in system-level debug and root cause analysis of technical issues.
Strong verbal and written communication skills.
Preferred Qualifications:
Knowledge of Ethernet architecture and networking protocols.
Prior experience with RTL development for Ethernet host adapters and system debug.
Expertise in multiple clock domain designs and asynchronous interfaces.
7+ years of experience with scripting languages such as TCL, Python, or Perl.
Familiarity with EDA tools like Design Compiler, Spyglass, or PrimeTime.
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
B.S. or M.S. degree in Computer Engineering, Electrical Engineering, or related field.
7+ years of post-college experience in digital design with proficiency in Verilog and System Verilog.
Experience in RTL design for high-speed data paths or packet processing in ASICs.
Deep understanding of Host Ethernet adaptor architectures.
Familiarity with timing closure and modern physical design methodologies.
Proven ability in system-level debug and root cause analysis of technical issues.
Strong verbal and written communication skills.
Preferred Qualifications:
Knowledge of Ethernet architecture and networking protocols.
Prior experience with RTL development for Ethernet host adapters and system debug.
Expertise in multiple clock domain designs and asynchronous interfaces.
7+ years of experience with scripting languages such as TCL, Python, or Perl.
Familiarity with EDA tools like Design Compiler, Spyglass, or PrimeTime.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:35pm - 4:35pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
PCIe ASIC Design Engineer
·
Cornelis Networks
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionCornelis Networks is hiring a Senior ASIC Design Engineer to lead the design and integration of PCIe controllers into our next-generation SoCs. The ideal candidate will have deep expertise in PCI Express protocol (Gen4/Gen5/Gen6), integration into high performance ASICs, emulation and post silicon bring-up.
Key Responsibilities:
- Own end-to-end integration of PCIe IP into complex ASIC designs.
- Collaborate with IP vendors, architecture, verification, physical design, and software teams to deliver robust PCIe subsystems.
- Drive performance optimization efforts across the PCIe stack, from PHY tuning to DMA/transaction layer efficiency.
- Contribute to system architecture and microarchitecture discussions with a focus on IO and interconnect scalability.
- Lead silicon bring-up and validation of PCIe links in the lab; work closely with board and firmware teams.
- Debug functional and performance issues at RTL, gate-level, and silicon.
- Ensure compliance with PCIe specifications and participate in interoperability testing where needed.
- Provide mentorship to junior engineers and help define PCIe subsystem development best practices.
- Good understanding of high-bandwidth, low-latency connectivity for high-performance compute platforms
Minimum Qualifications:
BS/MS in Electrical Engineering, Computer Engineering, or related field.
10+ years of industry experience in ASIC/SoC design with a focus on PCIe controller integration.
Proven experience in silicon bring-up and debug of high-speed interfaces.
Solid understanding of PCIe protocol stack (PHY, MAC, TLP, DLL), configuration space, and link training.
Hands-on experience with PCIe verification environments, performance tuning, and power-aware design.
Familiarity with PCIe compliance testing, simulation tools (e.g., VCS, Questa), and lab equipment (e.g., protocol analyzers, oscilloscopes).
Strong scripting (Python, Perl, TCL) and debugging skills.
Strong verbal and written communication skills.
Preferred Qualifications:
Experience with PCIe Gen5/Gen6 and advanced retimer or switch solutions.
Exposure to CXL, CCIX, or other cache-coherent interconnects.
Background in data center or AI/ML accelerator architectures.
Experience with emulation and prototyping platforms (e.g., ZeBu, Palladium, HAPS) for PCIe subsystem validation.
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities:
- Own end-to-end integration of PCIe IP into complex ASIC designs.
- Collaborate with IP vendors, architecture, verification, physical design, and software teams to deliver robust PCIe subsystems.
- Drive performance optimization efforts across the PCIe stack, from PHY tuning to DMA/transaction layer efficiency.
- Contribute to system architecture and microarchitecture discussions with a focus on IO and interconnect scalability.
- Lead silicon bring-up and validation of PCIe links in the lab; work closely with board and firmware teams.
- Debug functional and performance issues at RTL, gate-level, and silicon.
- Ensure compliance with PCIe specifications and participate in interoperability testing where needed.
- Provide mentorship to junior engineers and help define PCIe subsystem development best practices.
- Good understanding of high-bandwidth, low-latency connectivity for high-performance compute platforms
Minimum Qualifications:
BS/MS in Electrical Engineering, Computer Engineering, or related field.
10+ years of industry experience in ASIC/SoC design with a focus on PCIe controller integration.
Proven experience in silicon bring-up and debug of high-speed interfaces.
Solid understanding of PCIe protocol stack (PHY, MAC, TLP, DLL), configuration space, and link training.
Hands-on experience with PCIe verification environments, performance tuning, and power-aware design.
Familiarity with PCIe compliance testing, simulation tools (e.g., VCS, Questa), and lab equipment (e.g., protocol analyzers, oscilloscopes).
Strong scripting (Python, Perl, TCL) and debugging skills.
Strong verbal and written communication skills.
Preferred Qualifications:
Experience with PCIe Gen5/Gen6 and advanced retimer or switch solutions.
Exposure to CXL, CCIX, or other cache-coherent interconnects.
Background in data center or AI/ML accelerator architectures.
Experience with emulation and prototyping platforms (e.g., ZeBu, Palladium, HAPS) for PCIe subsystem validation.
Location: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
BS/MS in Electrical Engineering, Computer Engineering, or related field.
10+ years of industry experience in ASIC/SoC design with a focus on PCIe controller integration.
Proven experience in silicon bring-up and debug of high-speed interfaces.
Solid understanding of PCIe protocol stack (PHY, MAC, TLP, DLL), configuration space, and link training.
Hands-on experience with PCIe verification environments, performance tuning, and power-aware design.
Familiarity with PCIe compliance testing, simulation tools (e.g., VCS, Questa), and lab equipment (e.g., protocol analyzers, oscilloscopes).
Strong scripting (Python, Perl, TCL) and debugging skills.
Strong verbal and written communication skills.
Preferred Qualifications:
Experience with PCIe Gen5/Gen6 and advanced retimer or switch solutions.
Exposure to CXL, CCIX, or other cache-coherent interconnects.
Background in data center or AI/ML accelerator architectures.
Experience with emulation and prototyping platforms (e.g., ZeBu, Palladium, HAPS) for PCIe subsystem validation.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:35pm - 4:35pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
Monday, 17 November 2025 4:35pm-4:36pm Hall 6
High Performance Networking Technical Support Engineer (US)
·
Cornelis Networks
·
Wayne, PA
Hide Details
SessionJob Postings
DescriptionCornelis Networks is hiring talented High Performance Networking Technical Support Engineers with skills in the key areas required to support world-class hardware and software products used in high-performance computing, high-performance data analytics, and artificial intelligence interconnect solutions.
As a member of the Technical Support organization, you will work collaboratively with cross-functional teams to identify partner and end user issues and deliver solutions with world class customer service. Key to this role is the ability to build cross-functional relationships, effectively communicate with highly technical customers, apply critical thinking and problem-solving skills, and take initiative to drive customer satisfaction.
The ideal candidate enjoys having deep technical knowledge and applying their knowledge to solve challenging customer issues while working in a fast-paced environment. This role has a significant impact and contributes to the operational and financial success of the company.
Key Responsibilities:
- Providing professional high quality customer support for Cornelis Networks products.
- Taking technical ownership of user reported issues, driving diagnosis and resolution in a professional and timely manner.
- Managing incoming customer support issues (via emails, portal postings, or phone calls), escalating, when necessary, based on documented procedures, periodically supporting off-hours “on-call” support activities.
- Partnering cross-functionally across all levels of the corporation, working with other technical staff to identify and resolve issues.
- Supporting OEMs and/or system integrators with new cluster installation and acceptance, providing remote or on-site support as needed.
- Proactively ensuring customer readiness for updates; understanding changes and their impacts on customers; providing input for materials and documentation supporting these upgrades or early use of new capabilities.
- Actively participating and advocating for customers during the planning and sustaining periods of our product lifecycle.
Minimum Qualifications:
5 + Years’ experience programming with C, C++, Perl, Python, and/or Fortran, as well as knowledge of Linux scripting.
5 + Years’ experience system troubleshooting, network configuration and troubleshooting.
Strong analytical skills
Related high performance networking experience (administration, support, etc.).
Experience with the installation, configuration, and administration of enterprise Linux servers in clustered environments.
Strong interpersonal, verbal and written communication skills.
A demonstrated ability to work across geographies, time zones, companies, and organizations
B.S. Degree in Engineering, Computer Science, or a related discipline or 5+ years of equivalent experience in hardware or software development, validation, training, or technical support.
Preferred Qualifications:
Experience developing or troubleshooting Linux device drivers.
Knowledge of parallel programming, especially MPI and/or SHMEM, along with experience in troubleshooting in HPC/AI cluster environments.
Two years of experience with more than one Operating System.
InfiniBand experience.
Cluster storage experience.
Ability to analyze, breakdown, understand complex problems and communicate solutions effectively is required.
Ability to manage customer expectations and balance customer requests with Cornelis Networks' business needs.
Experience in providing user support in a network or HPC environment.
Location: This is a remote position for employees residing within the United States. Candidates residing locally to the Wayne, PA metro area is preferred. The ability to travel to Cornelis' headquarters for periodic meetings and training—as well as to partner and customer locations—is required. Travel is typically up to 25%, with peaks of up to 50% during product launches or key customer installation and acceptance periods.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
As a member of the Technical Support organization, you will work collaboratively with cross-functional teams to identify partner and end user issues and deliver solutions with world class customer service. Key to this role is the ability to build cross-functional relationships, effectively communicate with highly technical customers, apply critical thinking and problem-solving skills, and take initiative to drive customer satisfaction.
The ideal candidate enjoys having deep technical knowledge and applying their knowledge to solve challenging customer issues while working in a fast-paced environment. This role has a significant impact and contributes to the operational and financial success of the company.
Key Responsibilities:
- Providing professional high quality customer support for Cornelis Networks products.
- Taking technical ownership of user reported issues, driving diagnosis and resolution in a professional and timely manner.
- Managing incoming customer support issues (via emails, portal postings, or phone calls), escalating, when necessary, based on documented procedures, periodically supporting off-hours “on-call” support activities.
- Partnering cross-functionally across all levels of the corporation, working with other technical staff to identify and resolve issues.
- Supporting OEMs and/or system integrators with new cluster installation and acceptance, providing remote or on-site support as needed.
- Proactively ensuring customer readiness for updates; understanding changes and their impacts on customers; providing input for materials and documentation supporting these upgrades or early use of new capabilities.
- Actively participating and advocating for customers during the planning and sustaining periods of our product lifecycle.
Minimum Qualifications:
5 + Years’ experience programming with C, C++, Perl, Python, and/or Fortran, as well as knowledge of Linux scripting.
5 + Years’ experience system troubleshooting, network configuration and troubleshooting.
Strong analytical skills
Related high performance networking experience (administration, support, etc.).
Experience with the installation, configuration, and administration of enterprise Linux servers in clustered environments.
Strong interpersonal, verbal and written communication skills.
A demonstrated ability to work across geographies, time zones, companies, and organizations
B.S. Degree in Engineering, Computer Science, or a related discipline or 5+ years of equivalent experience in hardware or software development, validation, training, or technical support.
Preferred Qualifications:
Experience developing or troubleshooting Linux device drivers.
Knowledge of parallel programming, especially MPI and/or SHMEM, along with experience in troubleshooting in HPC/AI cluster environments.
Two years of experience with more than one Operating System.
InfiniBand experience.
Cluster storage experience.
Ability to analyze, breakdown, understand complex problems and communicate solutions effectively is required.
Ability to manage customer expectations and balance customer requests with Cornelis Networks' business needs.
Experience in providing user support in a network or HPC environment.
Location: This is a remote position for employees residing within the United States. Candidates residing locally to the Wayne, PA metro area is preferred. The ability to travel to Cornelis' headquarters for periodic meetings and training—as well as to partner and customer locations—is required. Travel is typically up to 25%, with peaks of up to 50% during product launches or key customer installation and acceptance periods.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
5 + Years’ experience programming with C, C++, Perl, Python, and/or Fortran, as well as knowledge of Linux scripting.
5 + Years’ experience system troubleshooting, network configuration and troubleshooting.
Strong analytical skills
Related high performance networking experience (administration, support, etc.).
Experience with the installation, configuration, and administration of enterprise Linux servers in clustered environments.
Strong interpersonal, verbal and written communication skills.
A demonstrated ability to work across geographies, time zones, companies, and organizations
B.S. Degree in Engineering, Computer Science, or a related discipline or 5+ years of equivalent experience in hardware or software development, validation, training, or technical support.
Preferred Qualifications:
Experience developing or troubleshooting Linux device drivers.
Knowledge of parallel programming, especially MPI and/or SHMEM, along with experience in troubleshooting in HPC/AI cluster environments.
Two years of experience with more than one Operating System.
InfiniBand experience.
Cluster storage experience.
Ability to analyze, breakdown, understand complex problems and communicate solutions effectively is required.
Ability to manage customer expectations and balance customer requests with Cornelis Networks' business needs.
Experience in providing user support in a network or HPC environment.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:35pm - 4:36pm CST
LocationHall 6
United States of America
Cornelis Networks
Remote
Full Time
Monday, 17 November 2025 4:36pm-4:36pm Hall 6
Senior Sales Account Manager
·
Cornelis Networks
·
Riyadh, Riyadh Province
Hide Details
SessionJob Postings
DescriptionCornelis Networks is looking for a Senior Sales Account Manager to build and grow strategic partnerships with leading end customers and reseller partners in the Gulf Region. This is a hunter role that requires making connections, opening doors, and driving initial traction in both AI & HPC opportunities. As Cornelis Networks is a disruptive force in the AI & HPC infrastructure markets, this role demands grit, resilience, and a can-do attitude to succeed in competitive environments.
The ideal candidate combines strong business development instincts with strategic relationship management skills to prospect new opportunities and secure sponsorship from influential stakeholders, with the long-term goal of expanding those engagements into multi-year technology and commercial partnerships. This role works closely with Cornelis’ product, sales, and marketing teams to align technology roadmaps with our differentiated capabilities—ensuring Cornelis solutions are embedded in the next generation of AI & HPC deployments.
Key Responsibilities:
- Hunt for new opportunities across AI & HPC customers by proactively identifying, engaging, and developing relationships with key influencers within each organization.
- Open doors at target accounts and establish Cornelis as a trusted partner by leveraging persistence, creativity, and strong customer engagement.
- Align technology roadmaps between Cornelis and cloud-native customers to influence infrastructure decisions in AI , HPC and enterprise deployments.
- Represent Cornelis Networks at events, trade shows, executive forums, and industry conferences.
- Serve as the regional customer advocate internally, providing structured feedback to shape Cornelis’ product and market strategies.
- Operate with grit and resilience, navigating complex, matrixed partner organizations to build alignment from field sellers to executive decision-makers.
Required Qualifications:
10 years of experience in a related field.
Minimum of 7 years of experience in business development, sales hunting, or technology partnerships—preferably in cloud, HPC, or enterprise infrastructure.
Proven track record of prospecting, building new relationships, and closing multi-million-dollar partnerships with AI & HPC customers and reseller partners.
Strong knowledge of HPC, AI, and data center infrastructure, including Ethernet, InfiniBand, and interconnect technologies.
Executive presence, with experience engaging engineering, VP-, and C-level decision-makers.
Proficiency with Salesforce CRM, Microsoft Office Suite, and sales enablement platforms.
Demonstrated resilience and persistence in breaking into new accounts with disruptive technologies.
Candidate must be fluent in spoken and written English.
All applicants must have citizenship of a Gulf country, rights to work and live in GCC or have valid VISA permitting them to do so.
Desired Qualifications:
Experience with AI & HPC customers and respective reseller partners.
Demonstrated ability to scale new opportunities into long-term partnerships with measurable revenue growth.
Familiarity with AI & HPC solution positioning, pricing models, and partner-led go-to-market strategies.
Entrepreneurial mindset with the ability to thrive in a high-growth, competitive market environment.
Collaborative, relationship-oriented style with excellent communication and influencing skills.
Location: This is a remote role within Saudi Arabia but does require 50% travel to customer sites, events, trade shows and conferences.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
The ideal candidate combines strong business development instincts with strategic relationship management skills to prospect new opportunities and secure sponsorship from influential stakeholders, with the long-term goal of expanding those engagements into multi-year technology and commercial partnerships. This role works closely with Cornelis’ product, sales, and marketing teams to align technology roadmaps with our differentiated capabilities—ensuring Cornelis solutions are embedded in the next generation of AI & HPC deployments.
Key Responsibilities:
- Hunt for new opportunities across AI & HPC customers by proactively identifying, engaging, and developing relationships with key influencers within each organization.
- Open doors at target accounts and establish Cornelis as a trusted partner by leveraging persistence, creativity, and strong customer engagement.
- Align technology roadmaps between Cornelis and cloud-native customers to influence infrastructure decisions in AI , HPC and enterprise deployments.
- Represent Cornelis Networks at events, trade shows, executive forums, and industry conferences.
- Serve as the regional customer advocate internally, providing structured feedback to shape Cornelis’ product and market strategies.
- Operate with grit and resilience, navigating complex, matrixed partner organizations to build alignment from field sellers to executive decision-makers.
Required Qualifications:
10 years of experience in a related field.
Minimum of 7 years of experience in business development, sales hunting, or technology partnerships—preferably in cloud, HPC, or enterprise infrastructure.
Proven track record of prospecting, building new relationships, and closing multi-million-dollar partnerships with AI & HPC customers and reseller partners.
Strong knowledge of HPC, AI, and data center infrastructure, including Ethernet, InfiniBand, and interconnect technologies.
Executive presence, with experience engaging engineering, VP-, and C-level decision-makers.
Proficiency with Salesforce CRM, Microsoft Office Suite, and sales enablement platforms.
Demonstrated resilience and persistence in breaking into new accounts with disruptive technologies.
Candidate must be fluent in spoken and written English.
All applicants must have citizenship of a Gulf country, rights to work and live in GCC or have valid VISA permitting them to do so.
Desired Qualifications:
Experience with AI & HPC customers and respective reseller partners.
Demonstrated ability to scale new opportunities into long-term partnerships with measurable revenue growth.
Familiarity with AI & HPC solution positioning, pricing models, and partner-led go-to-market strategies.
Entrepreneurial mindset with the ability to thrive in a high-growth, competitive market environment.
Collaborative, relationship-oriented style with excellent communication and influencing skills.
Location: This is a remote role within Saudi Arabia but does require 50% travel to customer sites, events, trade shows and conferences.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsRequired Qualifications:
10 years of experience in a related field.
Minimum of 7 years of experience in business development, sales hunting, or technology partnerships—preferably in cloud, HPC, or enterprise infrastructure.
Proven track record of prospecting, building new relationships, and closing multi-million-dollar partnerships with AI & HPC customers and reseller partners.
Strong knowledge of HPC, AI, and data center infrastructure, including Ethernet, InfiniBand, and interconnect technologies.
Executive presence, with experience engaging engineering, VP-, and C-level decision-makers.
Proficiency with Salesforce CRM, Microsoft Office Suite, and sales enablement platforms.
Demonstrated resilience and persistence in breaking into new accounts with disruptive technologies.
Candidate must be fluent in spoken and written English.
All applicants must have citizenship of a Gulf country, rights to work and live in GCC or have valid VISA permitting them to do so.
Desired Qualifications:
Experience with AI & HPC customers and respective reseller partners.
Demonstrated ability to scale new opportunities into long-term partnerships with measurable revenue growth.
Familiarity with AI & HPC solution positioning, pricing models, and partner-led go-to-market strategies.
Entrepreneurial mindset with the ability to thrive in a high-growth, competitive market environment.
Collaborative, relationship-oriented style with excellent communication and influencing skills.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans globally, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:36pm - 4:36pm CST
LocationHall 6
Saudi Arabia
Cornelis Networks
Remote
Full Time
Senior Business Development Manager - Cloud Service Provider
·
Cornelis Networks
·
Brussels, Belgium
Hide Details
SessionJob Postings
DescriptionCornelis Networks is looking for a Senior Business Development Manager Cloud Service Provider to build and grow strategic partnerships with leading public cloud and next-generation neo-cloud providers. This is a hunter role that requires making connections, opening doors, and driving initial traction at both established and emerging cloud-native companies. As Cornelis Networks is a disruptive force in the AI cloud infrastructure market, this role demands grit, resilience, and a can-do attitude to succeed in competitive environments.
The ideal candidate combines strong business development instincts with strategic relationship management skills to prospect new opportunities and secure sponsorship from influential stakeholders, with the long-term goal of expanding those engagements into multi-year technology and commercial partnerships. This role works closely with Cornelis’ product, sales, and marketing teams to align cloud technology roadmaps with our differentiated capabilities ensuring Cornelis solutions are embedded in the next generation of AI cloud deployments.
Key Responsibilities:
- Hunt for new opportunities across cloud service providers and neo-cloud players by proactively identifying, engaging, and developing relationships with key influencers within each organization.
- Open doors at target accounts and establish Cornelis as a trusted partner by leveraging persistence, creativity, and strong customer engagement.
- Align technology roadmaps between Cornelis and cloud-native customers to influence infrastructure decisions in AI and enterprise cloud deployments.
- Represent Cornelis Networks at cloud-hosted events, trade shows, executive forums, and industry conferences.
- Serve as the cloud customer advocate internally, providing structured feedback to shape Cornelis’ product and market strategies.
- Operate with grit and resilience, navigating complex, matrixed partner organizations to build alignment from field sellers to executive decision-makers.
Minimum Qualifications:
Minimum of 7-10 years of experience in business development, sales hunting, or technology partnerships—preferably in cloud, HPC, or enterprise infrastructure.
Proven track record of prospecting, building new relationships, and closing multi-million-dollar partnerships with CSPs, hyperscalers, or OEMs.
Strong knowledge of HPC, AI, and data center infrastructure, including Ethernet, InfiniBand, and interconnect technologies.
Executive presence, with experience engaging engineering, VP-, and C-level decision-makers.
Proficiency with Salesforce CRM, Microsoft Office Suite, and sales enablement platforms.
Demonstrated resilience and persistence in breaking into new accounts with disruptive technologies.
Candidate must be fluent in spoken and written English.
All applicants must have citizenship of an EU country, rights to work and live in EU or have valid VISA permitting them to do so.
Preferred Qualifications:
Experience with cloud service providers, hyperscalers, neo-cloud, or HPC cloud providers.
Demonstrated ability to scale new logos into long-term partnerships with measurable revenue growth.
Familiarity with cloud product positioning, pricing models, and partner-led go-to-market strategies.
Entrepreneurial mindset with the ability to thrive in a high-growth, competitive market environment.
Collaborative, relationship-oriented style with excellent communication and influencing skills.
Location: This is a remote role within EU but does require 50% travel to customer sites, events, trade shows and conferences. Candidates would ideally be based in Belgium.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
The ideal candidate combines strong business development instincts with strategic relationship management skills to prospect new opportunities and secure sponsorship from influential stakeholders, with the long-term goal of expanding those engagements into multi-year technology and commercial partnerships. This role works closely with Cornelis’ product, sales, and marketing teams to align cloud technology roadmaps with our differentiated capabilities ensuring Cornelis solutions are embedded in the next generation of AI cloud deployments.
Key Responsibilities:
- Hunt for new opportunities across cloud service providers and neo-cloud players by proactively identifying, engaging, and developing relationships with key influencers within each organization.
- Open doors at target accounts and establish Cornelis as a trusted partner by leveraging persistence, creativity, and strong customer engagement.
- Align technology roadmaps between Cornelis and cloud-native customers to influence infrastructure decisions in AI and enterprise cloud deployments.
- Represent Cornelis Networks at cloud-hosted events, trade shows, executive forums, and industry conferences.
- Serve as the cloud customer advocate internally, providing structured feedback to shape Cornelis’ product and market strategies.
- Operate with grit and resilience, navigating complex, matrixed partner organizations to build alignment from field sellers to executive decision-makers.
Minimum Qualifications:
Minimum of 7-10 years of experience in business development, sales hunting, or technology partnerships—preferably in cloud, HPC, or enterprise infrastructure.
Proven track record of prospecting, building new relationships, and closing multi-million-dollar partnerships with CSPs, hyperscalers, or OEMs.
Strong knowledge of HPC, AI, and data center infrastructure, including Ethernet, InfiniBand, and interconnect technologies.
Executive presence, with experience engaging engineering, VP-, and C-level decision-makers.
Proficiency with Salesforce CRM, Microsoft Office Suite, and sales enablement platforms.
Demonstrated resilience and persistence in breaking into new accounts with disruptive technologies.
Candidate must be fluent in spoken and written English.
All applicants must have citizenship of an EU country, rights to work and live in EU or have valid VISA permitting them to do so.
Preferred Qualifications:
Experience with cloud service providers, hyperscalers, neo-cloud, or HPC cloud providers.
Demonstrated ability to scale new logos into long-term partnerships with measurable revenue growth.
Familiarity with cloud product positioning, pricing models, and partner-led go-to-market strategies.
Entrepreneurial mindset with the ability to thrive in a high-growth, competitive market environment.
Collaborative, relationship-oriented style with excellent communication and influencing skills.
Location: This is a remote role within EU but does require 50% travel to customer sites, events, trade shows and conferences. Candidates would ideally be based in Belgium.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
Minimum of 7-10 years of experience in business development, sales hunting, or technology partnerships—preferably in cloud, HPC, or enterprise infrastructure.
Proven track record of prospecting, building new relationships, and closing multi-million-dollar partnerships with CSPs, hyperscalers, or OEMs.
Strong knowledge of HPC, AI, and data center infrastructure, including Ethernet, InfiniBand, and interconnect technologies.
Executive presence, with experience engaging engineering, VP-, and C-level decision-makers.
Proficiency with Salesforce CRM, Microsoft Office Suite, and sales enablement platforms.
Demonstrated resilience and persistence in breaking into new accounts with disruptive technologies.
Candidate must be fluent in spoken and written English.
All applicants must have citizenship of an EU country, rights to work and live in EU or have valid VISA permitting them to do so.
Preferred Qualifications:
Experience with cloud service providers, hyperscalers, neo-cloud, or HPC cloud providers.
Demonstrated ability to scale new logos into long-term partnerships with measurable revenue growth.
Familiarity with cloud product positioning, pricing models, and partner-led go-to-market strategies.
Entrepreneurial mindset with the ability to thrive in a high-growth, competitive market environment.
Collaborative, relationship-oriented style with excellent communication and influencing skills.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans globally, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:36pm - 4:36pm CST
LocationHall 6
Belgium
Cornelis Networks
Remote
Full Time
Monday, 17 November 2025 4:36pm-4:37pm Hall 6
High Performance Networking Technical Support Engineer (EMEA)
·
Cornelis Networks
·
Berlin, Germany
Hide Details
SessionJob Postings
DescriptionCornelis Networks is hiring talented High Performance Networking Technical Support Engineers with skills in the key areas required to support world-class hardware and software products used in high-performance computing, high-performance data analytics, and artificial intelligence interconnect solutions.
As a member of the Technical Support organization, you will work collaboratively with cross-functional teams to identify partner and end user issues and deliver solutions with world class customer service. Key to this role is the ability to build cross-functional relationships, effectively communicate with highly technical customers, apply critical thinking and problem-solving skills, and take initiative to drive customer satisfaction.
The ideal candidate enjoys having deep technical knowledge and applying their knowledge to solve challenging customer issues while working in a fast-paced environment. This role has a significant impact and contributes to the operational and financial success of the company.
Key Responsibilities:
- Providing professional high quality customer support for Cornelis Networks products.
- Taking technical ownership of user reported issues, driving diagnosis and resolution in a professional and timely manner.
- Managing incoming customer support issues (via emails, portal postings, or phone calls), escalating, when necessary, based on documented procedures, periodically supporting off-hours “on-call” support activities.
- Partnering cross-functionally across all levels of the corporation, working with other technical staff to identify and resolve issues.
- Supporting OEMs and/or system integrators with new cluster installation and acceptance, providing remote or on-site support as needed.
- Proactively ensuring customer readiness for updates; understanding changes and their impacts on customers; providing input for materials and documentation supporting these upgrades or early use of new capabilities.
- Actively participating and advocating for customers during the planning and sustaining periods of our product lifecycle.
Minimum Qualifications:
5 + Years’ experience programming with C, C++, Perl, Python, and/or Fortran, as well as knowledge of Linux scripting.
5 + Years’ experience system troubleshooting, network configuration and troubleshooting.
Strong analytical skills
Related high performance networking experience (administration, support, etc.).
Experience with the installation, configuration, and administration of enterprise Linux servers in clustered environments.
Strong interpersonal, verbal and written communication skills.
A demonstrated ability to work across geographies, time zones, companies, and organizations.
B.S. Degree in Engineering, Computer Science, or a related discipline or 5+ years of equivalent experience in hardware or software development, validation, training, or technical support.
Preferred Qualifications:
Experience developing or troubleshooting Linux device drivers.
Knowledge of parallel programming, especially MPI and/or SHMEM, along with experience in troubleshooting in HPC/AI cluster environments.
Two years of experience with more than one Operating System.
InfiniBand experience.
Cluster storage experience.
Ability to analyze, breakdown, understand complex problems and communicate solutions effectively is required.
Ability to manage customer expectations and balance customer requests with Cornelis Networks' business needs.
Experience in providing user support in a network or HPC environment.
Location: This is a remote position for employees residing within Germany, the United Kingdom, or Belgium. The ability to travel to Cornelis' headquarters for periodic meetings and training—as well as to partner and customer locations—is required. Travel is typically up to 25%, with peaks of up to 50% during product launches or key customer installation and acceptance periods.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
As a member of the Technical Support organization, you will work collaboratively with cross-functional teams to identify partner and end user issues and deliver solutions with world class customer service. Key to this role is the ability to build cross-functional relationships, effectively communicate with highly technical customers, apply critical thinking and problem-solving skills, and take initiative to drive customer satisfaction.
The ideal candidate enjoys having deep technical knowledge and applying their knowledge to solve challenging customer issues while working in a fast-paced environment. This role has a significant impact and contributes to the operational and financial success of the company.
Key Responsibilities:
- Providing professional high quality customer support for Cornelis Networks products.
- Taking technical ownership of user reported issues, driving diagnosis and resolution in a professional and timely manner.
- Managing incoming customer support issues (via emails, portal postings, or phone calls), escalating, when necessary, based on documented procedures, periodically supporting off-hours “on-call” support activities.
- Partnering cross-functionally across all levels of the corporation, working with other technical staff to identify and resolve issues.
- Supporting OEMs and/or system integrators with new cluster installation and acceptance, providing remote or on-site support as needed.
- Proactively ensuring customer readiness for updates; understanding changes and their impacts on customers; providing input for materials and documentation supporting these upgrades or early use of new capabilities.
- Actively participating and advocating for customers during the planning and sustaining periods of our product lifecycle.
Minimum Qualifications:
5 + Years’ experience programming with C, C++, Perl, Python, and/or Fortran, as well as knowledge of Linux scripting.
5 + Years’ experience system troubleshooting, network configuration and troubleshooting.
Strong analytical skills
Related high performance networking experience (administration, support, etc.).
Experience with the installation, configuration, and administration of enterprise Linux servers in clustered environments.
Strong interpersonal, verbal and written communication skills.
A demonstrated ability to work across geographies, time zones, companies, and organizations.
B.S. Degree in Engineering, Computer Science, or a related discipline or 5+ years of equivalent experience in hardware or software development, validation, training, or technical support.
Preferred Qualifications:
Experience developing or troubleshooting Linux device drivers.
Knowledge of parallel programming, especially MPI and/or SHMEM, along with experience in troubleshooting in HPC/AI cluster environments.
Two years of experience with more than one Operating System.
InfiniBand experience.
Cluster storage experience.
Ability to analyze, breakdown, understand complex problems and communicate solutions effectively is required.
Ability to manage customer expectations and balance customer requests with Cornelis Networks' business needs.
Experience in providing user support in a network or HPC environment.
Location: This is a remote position for employees residing within Germany, the United Kingdom, or Belgium. The ability to travel to Cornelis' headquarters for periodic meetings and training—as well as to partner and customer locations—is required. Travel is typically up to 25%, with peaks of up to 50% during product launches or key customer installation and acceptance periods.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications:
5 + Years’ experience programming with C, C++, Perl, Python, and/or Fortran, as well as knowledge of Linux scripting.
5 + Years’ experience system troubleshooting, network configuration and troubleshooting.
Strong analytical skills
Related high performance networking experience (administration, support, etc.).
Experience with the installation, configuration, and administration of enterprise Linux servers in clustered environments.
Strong interpersonal, verbal and written communication skills.
A demonstrated ability to work across geographies, time zones, companies, and organizations.
B.S. Degree in Engineering, Computer Science, or a related discipline or 5+ years of equivalent experience in hardware or software development, validation, training, or technical support.
Preferred Qualifications:
Experience developing or troubleshooting Linux device drivers.
Knowledge of parallel programming, especially MPI and/or SHMEM, along with experience in troubleshooting in HPC/AI cluster environments.
Two years of experience with more than one Operating System.
InfiniBand experience.
Cluster storage experience.
Ability to analyze, breakdown, understand complex problems and communicate solutions effectively is required.
Ability to manage customer expectations and balance customer requests with Cornelis Networks' business needs.
Experience in providing user support in a network or HPC environment.
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:36pm - 4:37pm CST
LocationHall 6
Germany
Cornelis Networks
Remote
Full Time
Monday, 17 November 2025 4:37pm-4:37pm Hall 6
ASIC Design Engineer
·
Cornelis Networks
·
San Jose, San Jose Province
Hide Details
SessionJob Postings
DescriptionCornelis Networks is hiring talented ASIC Design Engineers with deep experience in one or more of the key areas required to build the world-class SoCs to be deployed in high performance computing, high performance data analytics, and artificial intelligence interconnect solutions.
Key Responsibilities
- Implementation of the advanced ethernet protocols for the next generation ethernet ASICs.
- Write micro architecture specifications.
- Pre-silicon: Define timing constraints for the RTL block and work with Physical Design engineers for timing optimization.
- Pre-silicon: Work with the verification engineers to create block/system level test plans and ensure that the design is adequately covered.
- Post-silicon: Work with hardware/firmware/software engineers to resolve ASIC issues.
Minimum Qualifications
B.S. or M.S. degree in Computer or Electrical Engineering.
10+ years of post-college experience in digital design with proficiency in Verilog, System Verilog.
Relevant experience in timing closure and familiarity with modern physical design methodologies.
Demonstrated strength with system level debug and determining root cause of technical issues.
Strong verbal and written communications skills.
Preferred Qualifications
Experience with Ethernet architecture and Networking protocols.
Familiarity and experience in design of some ethernet protocols applicable to ethernet adapters and switches.
Experience with multiple clock designs and asynchronous interfaces
Job Location: This role may work remote from Costa Rica via an EOR (Employer of Record).
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Key Responsibilities
- Implementation of the advanced ethernet protocols for the next generation ethernet ASICs.
- Write micro architecture specifications.
- Pre-silicon: Define timing constraints for the RTL block and work with Physical Design engineers for timing optimization.
- Pre-silicon: Work with the verification engineers to create block/system level test plans and ensure that the design is adequately covered.
- Post-silicon: Work with hardware/firmware/software engineers to resolve ASIC issues.
Minimum Qualifications
B.S. or M.S. degree in Computer or Electrical Engineering.
10+ years of post-college experience in digital design with proficiency in Verilog, System Verilog.
Relevant experience in timing closure and familiarity with modern physical design methodologies.
Demonstrated strength with system level debug and determining root cause of technical issues.
Strong verbal and written communications skills.
Preferred Qualifications
Experience with Ethernet architecture and Networking protocols.
Familiarity and experience in design of some ethernet protocols applicable to ethernet adapters and switches.
Experience with multiple clock designs and asynchronous interfaces
Job Location: This role may work remote from Costa Rica via an EOR (Employer of Record).
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
RequirementsMinimum Qualifications
B.S. or M.S. degree in Computer or Electrical Engineering.
10+ years of post-college experience in digital design with proficiency in Verilog, System Verilog.
Relevant experience in timing closure and familiarity with modern physical design methodologies.
Demonstrated strength with system level debug and determining root cause of technical issues.
Strong verbal and written communications skills.
Preferred Qualifications
Experience with Ethernet architecture and Networking protocols.
Familiarity and experience in design of some ethernet protocols applicable to ethernet adapters and switches.
Experience with multiple clock designs and asynchronous interfaces
Company DescriptionCornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:37pm - 4:37pm CST
LocationHall 6
Costa Rica
Cornelis Networks
Remote
Full Time
Lead Software Engineer - Backend (Richland, WA)
·
Pacific Northwest National Laboratory
·
Richland, Washington
Hide Details
SessionJob Postings
DescriptionResponsibilities
SOLVING THE HARDEST PROBLEMS IN NATIONAL SECURITY
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system you architect, every algorithm you optimize, and every deployment you lead directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL's advanced AI engineering initiatives—spanning agentic AI architectures, petabyte-scale data orchestration, and real-time multi-intelligence processing—are defining the future of national security technology. With your expertise in scalable system design, AI/ML engineering, and complex data architectures, you'll contribute to revolutionary capabilities that process multi-modal intelligence data at unprecedented scale and speed. We operate with startup agility and urgency, rapidly iterating and deploying solutions where failure isn't an option.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Lead Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you will architect and lead the development of mission-critical AI systems, design systems at scale in support of mission objectives, and drive technical strategy for some of the nation's most sophisticated intelligence and security applications. You'll take ownership from concept to deployment, mentor and develop staff, collaborate with research scientists and domain experts, and translate cutting-edge research into production-ready systems deployed in highly secure environments—all while maintaining the entrepreneurial mindset that turns breakthrough research into operational reality.
HANDS-ON IMPACT ACROSS DIVERSE, HIGH-STAKES CHALLENGES
System Architecture – Design and build distributed platforms in state-of-the-art secure facilities, architect high-availability microservices, conduct performance testing on enterprise-scale systems
Field Deployment – Deploy and optimize software systems in operational environments, troubleshoot mission-critical applications in real-world conditions, collaborate directly with system operators and infrastructure teams
Performance Engineering – Build ultra-high-performance APIs that handle millions of requests per second, architect systems that operate under extreme performance constraints, solve scalability challenges at national scale
Real-Time Systems – Build platforms that process streaming data with sub-millisecond latency, architect fault-tolerant systems that achieve 99.99% uptime, optimize performance for mission-critical operations
What You'll Architect & Build:
Software Platforms – Design scalable microservices architectures that coordinate across multiple domains, build robust API gateways for classified environments, architect service mesh implementations that handle the nation's most sensitive traffic
High-Performance Processing Systems – Lead distributed system design processing data from hundreds of sources simultaneously, architect real-time streaming platforms that handle terabytes per hour, design event-driven architectures that scale horizontally across data centers
Mission-Critical Infrastructure – Design container orchestration platforms that span multiple security domains, architect CI/CD pipelines processing millions of deployments, build monitoring and observability systems across secure enclaves
Technical Leadership with Impact – Mentor engineering teams building systems that push the boundaries of software architecture, drive technical decisions that influence platform strategy, lead cross-functional initiatives spanning multiple development teams
Technical Expertise Expected:
Programming Excellence – Expert-level Python, C#/.Net, with proficiency in JavaScript/TypeScript, [Java, C/C++, Rust]
Cloud & Infrastructure – AWS/Azure architecture, Kubernetes orchestration, Infrastructure as Code, [GCP, Multi-cloud, Edge computing]
Data & Storage – S3, Elasticsearch/OpenSearch, PostgreSQL, MongoDB, Redshift, Delta Lake, Vector stores
AI/ML Engineering – Agentic AI systems, LLMs, model deployment & orchestration, MLOps platforms, distributed training, model serving at scale, vector databases, graph analytics
Intelligence Systems – Data fusion, GEOINT processing, signals analysis, threat correlation
Data Engineering – Spark/Databricks, Kafka/streaming, data lake/mesh architectures, real-time analytics, distributed computing
Specialized Systems – Geospatial processing frameworks, time-series databases, distributed computing, secure enclaves
Leadership Tools – Agile/SAFe methodologies, GitLab Enterprise, advanced CI/CD, security-first DevOps
Impact & Growth:
Lead technical strategy for AI-powered national security systems while mentoring the next generation of engineers. Your architectural decisions will influence platforms processing intelligence data at national scale, directly contributing to our nation's security posture.
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Richland, WA and requires an onsite presence Monday through Thursday, with Friday as required by business needs.
SOLVING THE HARDEST PROBLEMS IN NATIONAL SECURITY
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system you architect, every algorithm you optimize, and every deployment you lead directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL's advanced AI engineering initiatives—spanning agentic AI architectures, petabyte-scale data orchestration, and real-time multi-intelligence processing—are defining the future of national security technology. With your expertise in scalable system design, AI/ML engineering, and complex data architectures, you'll contribute to revolutionary capabilities that process multi-modal intelligence data at unprecedented scale and speed. We operate with startup agility and urgency, rapidly iterating and deploying solutions where failure isn't an option.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Lead Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you will architect and lead the development of mission-critical AI systems, design systems at scale in support of mission objectives, and drive technical strategy for some of the nation's most sophisticated intelligence and security applications. You'll take ownership from concept to deployment, mentor and develop staff, collaborate with research scientists and domain experts, and translate cutting-edge research into production-ready systems deployed in highly secure environments—all while maintaining the entrepreneurial mindset that turns breakthrough research into operational reality.
HANDS-ON IMPACT ACROSS DIVERSE, HIGH-STAKES CHALLENGES
System Architecture – Design and build distributed platforms in state-of-the-art secure facilities, architect high-availability microservices, conduct performance testing on enterprise-scale systems
Field Deployment – Deploy and optimize software systems in operational environments, troubleshoot mission-critical applications in real-world conditions, collaborate directly with system operators and infrastructure teams
Performance Engineering – Build ultra-high-performance APIs that handle millions of requests per second, architect systems that operate under extreme performance constraints, solve scalability challenges at national scale
Real-Time Systems – Build platforms that process streaming data with sub-millisecond latency, architect fault-tolerant systems that achieve 99.99% uptime, optimize performance for mission-critical operations
What You'll Architect & Build:
Software Platforms – Design scalable microservices architectures that coordinate across multiple domains, build robust API gateways for classified environments, architect service mesh implementations that handle the nation's most sensitive traffic
High-Performance Processing Systems – Lead distributed system design processing data from hundreds of sources simultaneously, architect real-time streaming platforms that handle terabytes per hour, design event-driven architectures that scale horizontally across data centers
Mission-Critical Infrastructure – Design container orchestration platforms that span multiple security domains, architect CI/CD pipelines processing millions of deployments, build monitoring and observability systems across secure enclaves
Technical Leadership with Impact – Mentor engineering teams building systems that push the boundaries of software architecture, drive technical decisions that influence platform strategy, lead cross-functional initiatives spanning multiple development teams
Technical Expertise Expected:
Programming Excellence – Expert-level Python, C#/.Net, with proficiency in JavaScript/TypeScript, [Java, C/C++, Rust]
Cloud & Infrastructure – AWS/Azure architecture, Kubernetes orchestration, Infrastructure as Code, [GCP, Multi-cloud, Edge computing]
Data & Storage – S3, Elasticsearch/OpenSearch, PostgreSQL, MongoDB, Redshift, Delta Lake, Vector stores
AI/ML Engineering – Agentic AI systems, LLMs, model deployment & orchestration, MLOps platforms, distributed training, model serving at scale, vector databases, graph analytics
Intelligence Systems – Data fusion, GEOINT processing, signals analysis, threat correlation
Data Engineering – Spark/Databricks, Kafka/streaming, data lake/mesh architectures, real-time analytics, distributed computing
Specialized Systems – Geospatial processing frameworks, time-series databases, distributed computing, secure enclaves
Leadership Tools – Agile/SAFe methodologies, GitLab Enterprise, advanced CI/CD, security-first DevOps
Impact & Growth:
Lead technical strategy for AI-powered national security systems while mentoring the next generation of engineers. Your architectural decisions will influence platforms processing intelligence data at national scale, directly contributing to our nation's security posture.
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Richland, WA and requires an onsite presence Monday through Thursday, with Friday as required by business needs.
RequirementsQualifications
Minimum Qualifications:
PhD and 3 years of relevant experience -OR-
MS/MA or higher and 5 years of relevant experience -OR-
BS/BA and 7 years of relevant experience -OR-
AA and 16 years of relevant experience -OR-
HS/GED and 18 years of relevant experience
Qualifying software development experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development may be counted
Preferred Qualifications:
Degree in computer science, software engineering, or related field
7+ years of experience in designing or deploying large-scale and high-performance ETL pipelines and analytics
7+ years Python or other software development experience
Strong understanding of software engineering and data management best practices
Strong cloud architecture and implementation experience
Cloud and database certifications
Familiar with machine learning algorithms with hands-on experience in machine learning pipeline development
Active Federal Q Clearance and ability to maintain such clearance
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
“Referral Eligible”
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionAbout PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:37pm - 4:37pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Lead Software Engineer - Backend (Seattle, WA)
·
Pacific Northwest National Laboratory
·
Seattle, WA
Hide Details
SessionJob Postings
DescriptionSOLVING THE HARDEST PROBLEMS IN NATIONAL SECURITY
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere, from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system you architect, every algorithm you optimize, and every deployment you lead directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL's advanced AI engineering initiatives—spanning agentic AI architectures, petabyte-scale data orchestration, and real-time multi-intelligence processing—are defining the future of national security technology. With your expertise in scalable system design, AI/ML engineering, and complex data architectures, you'll contribute to revolutionary capabilities that process multi-modal intelligence data at unprecedented scale and speed. We operate with startup agility and urgency, rapidly iterating and deploying solutions where failure isn't an option.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Lead Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you will architect and lead the development of mission-critical AI systems, design systems at scale in support of mission objectives, and drive technical strategy for some of the nation's most sophisticated intelligence and security applications. You'll take ownership from concept to deployment, mentor and develop staff, collaborate with research scientists and domain experts, and translate cutting-edge research into production-ready systems deployed in highly secure environments—all while maintaining the entrepreneurial mindset that turns breakthrough research into operational reality.
HANDS-ON IMPACT ACROSS DIVERSE, HIGH-STAKES CHALLENGES:
System Architecture – Design and build distributed platforms in state-of-the-art secure facilities, architect high-availability microservices, conduct performance testing on enterprise-scale systems
Field Deployment – Deploy and optimize software systems in operational environments, troubleshoot mission-critical applications in real-world conditions, collaborate directly with system operators and infrastructure teams
Performance Engineering – Build ultra-high-performance APIs that handle millions of requests per second, architect systems that operate under extreme performance constraints, solve scalability challenges at national scale
Real-Time Systems – Build platforms that process streaming data with sub-millisecond latency, architect fault-tolerant systems that achieve 99.99% uptime, optimize performance for mission-critical operations
What You'll Architect & Build:
Software Platforms – Design scalable microservices architectures that coordinate across multiple domains, build robust API gateways for classified environments, architect service mesh implementations that handle the nation's most sensitive traffic
High-Performance Processing Systems – Lead distributed system design processing data from hundreds of sources simultaneously, architect real-time streaming platforms that handle terabytes per hour, design event-driven architectures that scale horizontally across data centers
Mission-Critical Infrastructure – Design container orchestration platforms that span multiple security domains, architect CI/CD pipelines processing millions of deployments, build monitoring and observability systems across secure enclaves
Technical Leadership with Impact – Mentor engineering teams building systems that push the boundaries of software architecture, drive technical decisions that influence platform strategy, lead cross-functional initiatives spanning multiple development teams
Technical Expertise Expected:
Programming Excellence – Expert-level Python, C#/.Net, with proficiency in JavaScript/TypeScript, [Java, C/C++, Rust]
Cloud & Infrastructure – AWS/Azure architecture, Kubernetes orchestration, Infrastructure as Code, [GCP, Multi-cloud, Edge computing]
Data & Storage – S3, Elasticsearch/OpenSearch, PostgreSQL, MongoDB, Redshift, Delta Lake, Vector stores
AI/ML Engineering – Agentic AI systems, LLMs, model deployment & orchestration, MLOps platforms, distributed training, model serving at scale, vector databases, graph analytics
Intelligence Systems – Data fusion, GEOINT processing, signals analysis, threat correlation
Data Engineering – Spark/Databricks, Kafka/streaming, data lake/mesh architectures, real-time analytics, distributed computing
Specialized Systems – Geospatial processing frameworks, time-series databases, distributed computing, secure enclaves
Leadership Tools – Agile/SAFe methodologies, GitLab Enterprise, advanced CI/CD, security-first DevOps
Impact & Growth:
Lead technical strategy for AI-powered national security systems while mentoring the next generation of engineers. Your architectural decisions will influence platforms processing intelligence data at national scale, directly contributing to our nation's security posture.
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Seattle, WA, and requires an on-site presence Monday through Thursday, with Friday as required by business needs.
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere, from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system you architect, every algorithm you optimize, and every deployment you lead directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL's advanced AI engineering initiatives—spanning agentic AI architectures, petabyte-scale data orchestration, and real-time multi-intelligence processing—are defining the future of national security technology. With your expertise in scalable system design, AI/ML engineering, and complex data architectures, you'll contribute to revolutionary capabilities that process multi-modal intelligence data at unprecedented scale and speed. We operate with startup agility and urgency, rapidly iterating and deploying solutions where failure isn't an option.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Lead Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you will architect and lead the development of mission-critical AI systems, design systems at scale in support of mission objectives, and drive technical strategy for some of the nation's most sophisticated intelligence and security applications. You'll take ownership from concept to deployment, mentor and develop staff, collaborate with research scientists and domain experts, and translate cutting-edge research into production-ready systems deployed in highly secure environments—all while maintaining the entrepreneurial mindset that turns breakthrough research into operational reality.
HANDS-ON IMPACT ACROSS DIVERSE, HIGH-STAKES CHALLENGES:
System Architecture – Design and build distributed platforms in state-of-the-art secure facilities, architect high-availability microservices, conduct performance testing on enterprise-scale systems
Field Deployment – Deploy and optimize software systems in operational environments, troubleshoot mission-critical applications in real-world conditions, collaborate directly with system operators and infrastructure teams
Performance Engineering – Build ultra-high-performance APIs that handle millions of requests per second, architect systems that operate under extreme performance constraints, solve scalability challenges at national scale
Real-Time Systems – Build platforms that process streaming data with sub-millisecond latency, architect fault-tolerant systems that achieve 99.99% uptime, optimize performance for mission-critical operations
What You'll Architect & Build:
Software Platforms – Design scalable microservices architectures that coordinate across multiple domains, build robust API gateways for classified environments, architect service mesh implementations that handle the nation's most sensitive traffic
High-Performance Processing Systems – Lead distributed system design processing data from hundreds of sources simultaneously, architect real-time streaming platforms that handle terabytes per hour, design event-driven architectures that scale horizontally across data centers
Mission-Critical Infrastructure – Design container orchestration platforms that span multiple security domains, architect CI/CD pipelines processing millions of deployments, build monitoring and observability systems across secure enclaves
Technical Leadership with Impact – Mentor engineering teams building systems that push the boundaries of software architecture, drive technical decisions that influence platform strategy, lead cross-functional initiatives spanning multiple development teams
Technical Expertise Expected:
Programming Excellence – Expert-level Python, C#/.Net, with proficiency in JavaScript/TypeScript, [Java, C/C++, Rust]
Cloud & Infrastructure – AWS/Azure architecture, Kubernetes orchestration, Infrastructure as Code, [GCP, Multi-cloud, Edge computing]
Data & Storage – S3, Elasticsearch/OpenSearch, PostgreSQL, MongoDB, Redshift, Delta Lake, Vector stores
AI/ML Engineering – Agentic AI systems, LLMs, model deployment & orchestration, MLOps platforms, distributed training, model serving at scale, vector databases, graph analytics
Intelligence Systems – Data fusion, GEOINT processing, signals analysis, threat correlation
Data Engineering – Spark/Databricks, Kafka/streaming, data lake/mesh architectures, real-time analytics, distributed computing
Specialized Systems – Geospatial processing frameworks, time-series databases, distributed computing, secure enclaves
Leadership Tools – Agile/SAFe methodologies, GitLab Enterprise, advanced CI/CD, security-first DevOps
Impact & Growth:
Lead technical strategy for AI-powered national security systems while mentoring the next generation of engineers. Your architectural decisions will influence platforms processing intelligence data at national scale, directly contributing to our nation's security posture.
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Seattle, WA, and requires an on-site presence Monday through Thursday, with Friday as required by business needs.
RequirementsMinimum Qualifications:
PhD and 3 years of relevant experience -OR-
MS/MA or higher and 5 years of relevant experience -OR-
BS/BA and 7 years of relevant experience -OR-
AA and 16 years of relevant experience -OR-
HS/GED and 18 years of relevant experience
Qualifying software development experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development may be counted
Preferred Qualifications:
Degree in computer science, software engineering, or related field
7+ years of experience in designing or deploying large-scale and high-performance ETL pipelines and analytics
7+ years Python or other software development experience
Strong understanding of software engineering and data management best practices
Strong cloud architecture and implementation experience
Cloud and database certifications
Familiar with machine learning algorithms with hands-on experience in machine learning pipeline development
Active Federal Q Clearance and ability to maintain such clearance
Hazardous Working Conditions/Environment
Not Applicable
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionAbout PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:37pm - 4:37pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Monday, 17 November 2025 4:37pm-4:38pm Hall 6
Senior Software Engineer - Backend (Richland, WA)
·
Pacific Northwest National Laboratory
·
Richland, WA
Hide Details
SessionJob Postings
DescriptionSOLVING THE HARDEST PROBLEMS IN NATIONAL SECURITY
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system you architect, every algorithm you optimize, and every deployment you lead directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL is leading the charge in advanced AI engineering, driving innovation in areas such as real-time multi-intelligence processing, petabyte-scale data orchestration, and agentic AI system architectures to support national security initiatives. We are looking for a mid-career Software Engineer to play a key role in advancing these groundbreaking technologies. In this position, you will leverage your experience in scalable system design, AI/ML engineering, and data architecture to develop revolutionary capabilities for processing multi-modal intelligence data with unprecedented speed and scale. You’ll work in a fast-paced, mission-driven environment that combines startup-style agility with the rigor required for high-impact national security applications.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you will architect and lead the development of mission-critical AI systems, design systems at scale in support of mission objectives, and drive technical strategy for some of the nation's most sophisticated intelligence and security applications. You'll take ownership from concept to deployment, mentor and develop staff, collaborate with research scientists and domain experts, and translate cutting-edge research into production-ready systems deployed in highly secure environments—all while maintaining the entrepreneurial mindset that turns breakthrough research into operational reality.
HANDS-ON IMPACT ACROSS DIVERSE, HIGH-STAKES CHALLENGES
System Architecture – Design and build distributed platforms in state-of-the-art secure facilities, architect high-availability microservices, conduct performance testing on enterprise-scale systems
Field Deployment – Deploy and optimize software systems in operational environments, troubleshoot mission-critical applications in real-world conditions, collaborate directly with system operators and infrastructure teams
Performance Engineering – Build ultra-high-performance APIs that handle millions of requests per second, architect systems that operate under extreme performance constraints, solve scalability challenges at national scale
Real-Time Systems – Build platforms that process streaming data with sub-millisecond latency, architect fault-tolerant systems that achieve 99.99% uptime, optimize performance for mission-critical operations
What You'll Architect & Build:
Software Platforms – Develop scalable microservices architectures that coordinate across multiple domains, build robust API gateways for classified environments, architect service mesh implementations that handle the nation's most sensitive traffic
High-Performance Processing Systems – Lead distributed system design processing data from hundreds of sources simultaneously, architect real-time streaming platforms that handle terabytes per hour, design event-driven architectures that scale horizontally across data centers
Mission-Critical Infrastructure – Develop container orchestration platforms that span multiple security domains, architect CI/CD pipelines processing millions of deployments, build monitoring and observability systems across secure enclaves
Technical Leadership with Impact – Mentor engineering teams building systems that push the boundaries of software architecture, drive technical decisions that influence platform strategy, lead cross-functional initiatives spanning multiple development teams
Technical Expertise Expected:
Programming Excellence – Advanced Python, C#/.Net, with proficiency in JavaScript/TypeScript, [Java, C/C++, Rust]
Cloud & Infrastructure – AWS/Azure architecture, Kubernetes orchestration, Infrastructure as Code, [GCP, Multi-cloud, Edge computing]
Data & Storage – S3, Elasticsearch/OpenSearch, PostgreSQL, MongoDB, Redshift, Delta Lake, Vector stores
AI/ML Engineering – Agentic AI systems, LLMs, model deployment & orchestration, MLOps platforms, distributed training, model serving at scale, vector databases, graph analytics
Intelligence Systems – Data fusion, GEOINT processing, signals analysis, threat correlation
Data Engineering – Spark/Databricks, Kafka/streaming, data lake/mesh architectures, real-time analytics, distributed computing
Specialized Systems – Geospatial processing frameworks, time-series databases, distributed computing, secure enclaves
Leadership Tools – Agile/SAFe methodologies, GitLab Enterprise, advanced CI/CD, security-first DevOps
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Richland, WA and requires an onsite presence Monday through Thursday, with Friday as required by business needs.
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system you architect, every algorithm you optimize, and every deployment you lead directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL is leading the charge in advanced AI engineering, driving innovation in areas such as real-time multi-intelligence processing, petabyte-scale data orchestration, and agentic AI system architectures to support national security initiatives. We are looking for a mid-career Software Engineer to play a key role in advancing these groundbreaking technologies. In this position, you will leverage your experience in scalable system design, AI/ML engineering, and data architecture to develop revolutionary capabilities for processing multi-modal intelligence data with unprecedented speed and scale. You’ll work in a fast-paced, mission-driven environment that combines startup-style agility with the rigor required for high-impact national security applications.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you will architect and lead the development of mission-critical AI systems, design systems at scale in support of mission objectives, and drive technical strategy for some of the nation's most sophisticated intelligence and security applications. You'll take ownership from concept to deployment, mentor and develop staff, collaborate with research scientists and domain experts, and translate cutting-edge research into production-ready systems deployed in highly secure environments—all while maintaining the entrepreneurial mindset that turns breakthrough research into operational reality.
HANDS-ON IMPACT ACROSS DIVERSE, HIGH-STAKES CHALLENGES
System Architecture – Design and build distributed platforms in state-of-the-art secure facilities, architect high-availability microservices, conduct performance testing on enterprise-scale systems
Field Deployment – Deploy and optimize software systems in operational environments, troubleshoot mission-critical applications in real-world conditions, collaborate directly with system operators and infrastructure teams
Performance Engineering – Build ultra-high-performance APIs that handle millions of requests per second, architect systems that operate under extreme performance constraints, solve scalability challenges at national scale
Real-Time Systems – Build platforms that process streaming data with sub-millisecond latency, architect fault-tolerant systems that achieve 99.99% uptime, optimize performance for mission-critical operations
What You'll Architect & Build:
Software Platforms – Develop scalable microservices architectures that coordinate across multiple domains, build robust API gateways for classified environments, architect service mesh implementations that handle the nation's most sensitive traffic
High-Performance Processing Systems – Lead distributed system design processing data from hundreds of sources simultaneously, architect real-time streaming platforms that handle terabytes per hour, design event-driven architectures that scale horizontally across data centers
Mission-Critical Infrastructure – Develop container orchestration platforms that span multiple security domains, architect CI/CD pipelines processing millions of deployments, build monitoring and observability systems across secure enclaves
Technical Leadership with Impact – Mentor engineering teams building systems that push the boundaries of software architecture, drive technical decisions that influence platform strategy, lead cross-functional initiatives spanning multiple development teams
Technical Expertise Expected:
Programming Excellence – Advanced Python, C#/.Net, with proficiency in JavaScript/TypeScript, [Java, C/C++, Rust]
Cloud & Infrastructure – AWS/Azure architecture, Kubernetes orchestration, Infrastructure as Code, [GCP, Multi-cloud, Edge computing]
Data & Storage – S3, Elasticsearch/OpenSearch, PostgreSQL, MongoDB, Redshift, Delta Lake, Vector stores
AI/ML Engineering – Agentic AI systems, LLMs, model deployment & orchestration, MLOps platforms, distributed training, model serving at scale, vector databases, graph analytics
Intelligence Systems – Data fusion, GEOINT processing, signals analysis, threat correlation
Data Engineering – Spark/Databricks, Kafka/streaming, data lake/mesh architectures, real-time analytics, distributed computing
Specialized Systems – Geospatial processing frameworks, time-series databases, distributed computing, secure enclaves
Leadership Tools – Agile/SAFe methodologies, GitLab Enterprise, advanced CI/CD, security-first DevOps
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Richland, WA and requires an onsite presence Monday through Thursday, with Friday as required by business needs.
RequirementsMinimum Qualifications:
PhD and 1 year of relevant experience -OR-
MS/MA or higher and 3 years of relevant experience -OR-
BS/BA and 5 years of relevant experience -OR
AA and 14 years of relevant experience -OR-
HS/GED and 16 years of relevant experience
Qualifying software development experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development may be counted
Preferred Qualifications:
Degree in computer science, software engineering, or related field
5+ years of experience in designing or deploying large-scale and high-performance ETL pipelines and analytics
5+ years Python or other software development experience
Strong understanding of software engineering and data management best practices
Strong cloud architecture and implementation experience
Cloud and database certifications
Familiar with machine learning algorithms with hands-on experience in machine learning pipeline development
Active Federal Q Clearance and ability to maintain such clearance
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
“Referral Eligible”
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionAbout PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:37pm - 4:38pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Monday, 17 November 2025 4:38pm-4:38pm Hall 6
Senior Software Engineer - Backend (Seattle, WA)
·
Pacific Northwest National Laboratory
·
Seattle, WA
Hide Details
SessionJob Postings
DescriptionAt PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.
Responsibilities
SOLVING THE HARDEST PROBLEMS IN NATIONAL SECURITY
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system you architect, every algorithm you optimize, and every deployment you lead directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL is leading the charge in advanced AI engineering, driving innovation in areas such as real-time multi-intelligence processing, petabyte-scale data orchestration, and agentic AI system architectures to support national security initiatives. We are looking for a mid-career Software Engineer to play a key role in advancing these groundbreaking technologies. In this position, you will leverage your experience in scalable system design, AI/ML engineering, and data architecture to develop revolutionary capabilities for processing multi-modal intelligence data with unprecedented speed and scale. You’ll work in a fast-paced, mission-driven environment that combines startup-style agility with the rigor required for high-impact national security applications.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you will architect and lead the development of mission-critical AI systems, design systems at scale in support of mission objectives, and drive technical strategy for some of the nation's most sophisticated intelligence and security applications. You'll take ownership from concept to deployment, mentor and develop staff, collaborate with research scientists and domain experts, and translate cutting-edge research into production-ready systems deployed in highly secure environments—all while maintaining the entrepreneurial mindset that turns breakthrough research into operational reality.
HANDS-ON IMPACT ACROSS DIVERSE, HIGH-STAKES CHALLENGES
System Architecture – Design and build distributed platforms in state-of-the-art secure facilities, architect high-availability microservices, conduct performance testing on enterprise-scale systems
Field Deployment – Deploy and optimize software systems in operational environments, troubleshoot mission-critical applications in real-world conditions, collaborate directly with system operators and infrastructure teams
Performance Engineering – Build ultra-high-performance APIs that handle millions of requests per second, architect systems that operate under extreme performance constraints, solve scalability challenges at national scale
Real-Time Systems – Build platforms that process streaming data with sub-millisecond latency, architect fault-tolerant systems that achieve 99.99% uptime, optimize performance for mission-critical operations
What You'll Architect & Build:
Software Platforms – Develop scalable microservices architectures that coordinate across multiple domains, build robust API gateways for classified environments, architect service mesh implementations that handle the nation's most sensitive traffic
High-Performance Processing Systems – Lead distributed system design processing data from hundreds of sources simultaneously, architect real-time streaming platforms that handle terabytes per hour, design event-driven architectures that scale horizontally across data centers
Mission-Critical Infrastructure – Develop container orchestration platforms that span multiple security domains, architect CI/CD pipelines processing millions of deployments, build monitoring and observability systems across secure enclaves
Technical Leadership with Impact – Mentor engineering teams building systems that push the boundaries of software architecture, drive technical decisions that influence platform strategy, lead cross-functional initiatives spanning multiple development teams
Technical Expertise Expected:
Programming Excellence – Advanced Python, C#/.Net, with proficiency in JavaScript/TypeScript, [Java, C/C++, Rust]
Cloud & Infrastructure – AWS/Azure architecture, Kubernetes orchestration, Infrastructure as Code, [GCP, Multi-cloud, Edge computing]
Data & Storage – S3, Elasticsearch/OpenSearch, PostgreSQL, MongoDB, Redshift, Delta Lake, Vector stores
AI/ML Engineering – Agentic AI systems, LLMs, model deployment & orchestration, MLOps platforms, distributed training, model serving at scale, vector databases, graph analytics
Intelligence Systems – Data fusion, GEOINT processing, signals analysis, threat correlation
Data Engineering – Spark/Databricks, Kafka/streaming, data lake/mesh architectures, real-time analytics, distributed computing
Specialized Systems – Geospatial processing frameworks, time-series databases, distributed computing, secure enclaves
Leadership Tools – Agile/SAFe methodologies, GitLab Enterprise, advanced CI/CD, security-first DevOps
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Seattle, WA, and requires an on-site presence Monday through Thursday, with Friday as required by business needs.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.
Responsibilities
SOLVING THE HARDEST PROBLEMS IN NATIONAL SECURITY
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system you architect, every algorithm you optimize, and every deployment you lead directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL is leading the charge in advanced AI engineering, driving innovation in areas such as real-time multi-intelligence processing, petabyte-scale data orchestration, and agentic AI system architectures to support national security initiatives. We are looking for a mid-career Software Engineer to play a key role in advancing these groundbreaking technologies. In this position, you will leverage your experience in scalable system design, AI/ML engineering, and data architecture to develop revolutionary capabilities for processing multi-modal intelligence data with unprecedented speed and scale. You’ll work in a fast-paced, mission-driven environment that combines startup-style agility with the rigor required for high-impact national security applications.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you will architect and lead the development of mission-critical AI systems, design systems at scale in support of mission objectives, and drive technical strategy for some of the nation's most sophisticated intelligence and security applications. You'll take ownership from concept to deployment, mentor and develop staff, collaborate with research scientists and domain experts, and translate cutting-edge research into production-ready systems deployed in highly secure environments—all while maintaining the entrepreneurial mindset that turns breakthrough research into operational reality.
HANDS-ON IMPACT ACROSS DIVERSE, HIGH-STAKES CHALLENGES
System Architecture – Design and build distributed platforms in state-of-the-art secure facilities, architect high-availability microservices, conduct performance testing on enterprise-scale systems
Field Deployment – Deploy and optimize software systems in operational environments, troubleshoot mission-critical applications in real-world conditions, collaborate directly with system operators and infrastructure teams
Performance Engineering – Build ultra-high-performance APIs that handle millions of requests per second, architect systems that operate under extreme performance constraints, solve scalability challenges at national scale
Real-Time Systems – Build platforms that process streaming data with sub-millisecond latency, architect fault-tolerant systems that achieve 99.99% uptime, optimize performance for mission-critical operations
What You'll Architect & Build:
Software Platforms – Develop scalable microservices architectures that coordinate across multiple domains, build robust API gateways for classified environments, architect service mesh implementations that handle the nation's most sensitive traffic
High-Performance Processing Systems – Lead distributed system design processing data from hundreds of sources simultaneously, architect real-time streaming platforms that handle terabytes per hour, design event-driven architectures that scale horizontally across data centers
Mission-Critical Infrastructure – Develop container orchestration platforms that span multiple security domains, architect CI/CD pipelines processing millions of deployments, build monitoring and observability systems across secure enclaves
Technical Leadership with Impact – Mentor engineering teams building systems that push the boundaries of software architecture, drive technical decisions that influence platform strategy, lead cross-functional initiatives spanning multiple development teams
Technical Expertise Expected:
Programming Excellence – Advanced Python, C#/.Net, with proficiency in JavaScript/TypeScript, [Java, C/C++, Rust]
Cloud & Infrastructure – AWS/Azure architecture, Kubernetes orchestration, Infrastructure as Code, [GCP, Multi-cloud, Edge computing]
Data & Storage – S3, Elasticsearch/OpenSearch, PostgreSQL, MongoDB, Redshift, Delta Lake, Vector stores
AI/ML Engineering – Agentic AI systems, LLMs, model deployment & orchestration, MLOps platforms, distributed training, model serving at scale, vector databases, graph analytics
Intelligence Systems – Data fusion, GEOINT processing, signals analysis, threat correlation
Data Engineering – Spark/Databricks, Kafka/streaming, data lake/mesh architectures, real-time analytics, distributed computing
Specialized Systems – Geospatial processing frameworks, time-series databases, distributed computing, secure enclaves
Leadership Tools – Agile/SAFe methodologies, GitLab Enterprise, advanced CI/CD, security-first DevOps
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Seattle, WA, and requires an on-site presence Monday through Thursday, with Friday as required by business needs.
RequirementsQualifications
Minimum Qualifications:
PhD and 1 year of relevant experience -OR-
MS/MA or higher and 3 years of relevant experience -OR-
BS/BA and 5 years of relevant experience -OR
AA and 14 years of relevant experience -OR-
HS/GED and 16 years of relevant experience
Qualifying software development experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development may be counted
Preferred Qualifications:
Degree in computer science, software engineering, or related field
5+ years of experience in designing or deploying large-scale and high-performance ETL pipelines and analytics
5+ years Python or other software development experience
Strong understanding of software engineering and data management best practices
Strong cloud architecture and implementation experience
Cloud and database certifications
Familiar with machine learning algorithms, with hands-on experience in machine learning pipeline development
Active Federal Q Clearance and ability to maintain such clearance
Hazardous Working Conditions/Environment
Not Applicable
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
“Referral Eligible”
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionAbout PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:38pm - 4:38pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Software Engineer II – Backend (Richland, WA)
·
Pacific Northwest National Laboratory
·
Richland, WA
Hide Details
SessionJob Postings
DescriptionAt PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.
Responsibilities
SOLVING THE HARDEST PROBLEMS IN NATIONAL SECURITY
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere, from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system, every algorithm, and every deployment you support directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL is at the forefront of advanced AI engineering, driving innovation in areas like real-time multi-intelligence processing, petabyte-scale data management, and next-generation AI architectures for national security applications. We are seeking a motivated Software Engineer to join our dynamic team and contribute to cutting-edge projects that shape the future of critical technology. In this role, you'll work alongside experienced engineers to design, build, and optimize scalable systems for processing multi-modal intelligence data at a remarkable scale and speed. This is a unique opportunity to grow your skills in AI/ML engineering, data orchestration, and system architecture while delivering impactful solutions in a fast-paced environment where agility and reliability are key.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you'll contribute to mission-critical AI systems, help build enterprise-scale data platforms, and gain hands-on experience with some of the nation's most sophisticated intelligence and security applications. You'll receive mentorship from senior engineers, collaborate with research scientists, and see your code deployed in production systems that serve national security missions.
What You'll Build & Learn:
AI Systems Development – Contribute to agentic AI implementations, work with LLM integrations, learn MLOps best practices on real-world applications
Intelligence Platform Development – Build components for multi-INT fusion systems, develop GEOINT processing tools, contribute to threat analysis platforms
Data Engineering – Develop data pipelines, build analytics workflows, contribute to cloud-native data architectures
Professional Growth – Receive mentorship from senior engineers, participate in code reviews, learn enterprise software development practices
Technical Skills (We'll Help You Grow):
Programming Foundation – Solid Python skills, experience with one additional language (C#/.Net, JavaScript, Java, or similar)
Platform Experience – Basic cloud experience (AWS, Azure, or GCP), familiarity with Linux environments
Development Practices – Understanding of version control (Git), exposure to CI/CD, basic Agile/Scrum experience
Data & Databases – Experience with SQL, basic understanding of data processing concepts
Eagerness to Learn – Interest in AI/ML technologies, geospatial systems, large-scale data processing
What We Offer:
Accelerated Learning – Work with cutting-edge AI and data technologies while receiving guidance from industry experts
Meaningful Impact – See your contributions deployed in systems that protect national security
Career Growth – Clear advancement path with mentorship and technical skill development opportunities
Cutting-Edge Technology – Hands-on experience with the latest AI, cloud, and data engineering technologies
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Richland, WA and requires an onsite presence Monday though Thursday, with Friday as required by business needs.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.
Responsibilities
SOLVING THE HARDEST PROBLEMS IN NATIONAL SECURITY
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere, from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system, every algorithm, and every deployment you support directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL is at the forefront of advanced AI engineering, driving innovation in areas like real-time multi-intelligence processing, petabyte-scale data management, and next-generation AI architectures for national security applications. We are seeking a motivated Software Engineer to join our dynamic team and contribute to cutting-edge projects that shape the future of critical technology. In this role, you'll work alongside experienced engineers to design, build, and optimize scalable systems for processing multi-modal intelligence data at a remarkable scale and speed. This is a unique opportunity to grow your skills in AI/ML engineering, data orchestration, and system architecture while delivering impactful solutions in a fast-paced environment where agility and reliability are key.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you'll contribute to mission-critical AI systems, help build enterprise-scale data platforms, and gain hands-on experience with some of the nation's most sophisticated intelligence and security applications. You'll receive mentorship from senior engineers, collaborate with research scientists, and see your code deployed in production systems that serve national security missions.
What You'll Build & Learn:
AI Systems Development – Contribute to agentic AI implementations, work with LLM integrations, learn MLOps best practices on real-world applications
Intelligence Platform Development – Build components for multi-INT fusion systems, develop GEOINT processing tools, contribute to threat analysis platforms
Data Engineering – Develop data pipelines, build analytics workflows, contribute to cloud-native data architectures
Professional Growth – Receive mentorship from senior engineers, participate in code reviews, learn enterprise software development practices
Technical Skills (We'll Help You Grow):
Programming Foundation – Solid Python skills, experience with one additional language (C#/.Net, JavaScript, Java, or similar)
Platform Experience – Basic cloud experience (AWS, Azure, or GCP), familiarity with Linux environments
Development Practices – Understanding of version control (Git), exposure to CI/CD, basic Agile/Scrum experience
Data & Databases – Experience with SQL, basic understanding of data processing concepts
Eagerness to Learn – Interest in AI/ML technologies, geospatial systems, large-scale data processing
What We Offer:
Accelerated Learning – Work with cutting-edge AI and data technologies while receiving guidance from industry experts
Meaningful Impact – See your contributions deployed in systems that protect national security
Career Growth – Clear advancement path with mentorship and technical skill development opportunities
Cutting-Edge Technology – Hands-on experience with the latest AI, cloud, and data engineering technologies
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Richland, WA and requires an onsite presence Monday though Thursday, with Friday as required by business needs.
RequirementsQualifications
Minimum Qualifications:
PhD -OR-
MS/MA -OR-
BS/BA and 2 years of relevant experience
Preferred Qualifications:
Degree in computer science, software engineering, or related field
2+ years of experience in designing or deploying large-scale and high-performance ETL pipelines and analytics
2+ years Python or other software development experience
Understanding of software engineering and data management best practices
Understanding of cloud architecture and implementation
Familiar with machine learning algorithms with experience in machine learning pipeline development
Active Federal Q Clearance and ability to maintain such clearance
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionAbout PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:38pm - 4:38pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Monday, 17 November 2025 4:38pm-4:39pm Hall 6
Software Engineer II - Backend (Seattle, WA)
·
Pacific Northwest National Laboratory
·
Seattle, WA
Hide Details
SessionJob Postings
DescriptionSOLVING THE HARDEST PROBLEMS IN NATIONAL SECURITY
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system, every algorithm, and every deployment you support directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL is at the forefront of advanced AI engineering, driving innovation in areas like real-time multi-intelligence processing, petabyte-scale data management, and next-generation AI architectures for national security applications. We are seeking a motivated Software Engineer to join our dynamic team and contribute to cutting-edge projects that shape the future of critical technology. In this role, you'll work alongside experienced engineers to design, build, and optimize scalable systems for processing multi-modal intelligence data at a remarkable scale and speed. This is a unique opportunity to grow your skills in AI/ML engineering, data orchestration, and system architecture while delivering impactful solutions in a fast-paced environment where agility and reliability are key.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you'll contribute to mission-critical AI systems, help build enterprise-scale data platforms, and gain hands-on experience with some of the nation's most sophisticated intelligence and security applications. You'll receive mentorship from senior engineers, collaborate with research scientists, and see your code deployed in production systems that serve national security missions.
What You'll Build & Learn:
AI Systems Development – Contribute to agentic AI implementations, work with LLM integrations, learn MLOps best practices on real-world applications
Intelligence Platform Development – Build components for multi-INT fusion systems, develop GEOINT processing tools, contribute to threat analysis platforms
Data Engineering – Develop data pipelines, build analytics workflows, contribute to cloud-native data architectures
Professional Growth – Receive mentorship from senior engineers, participate in code reviews, learn enterprise software development practices
Technical Skills (We'll Help You Grow):
Programming Foundation – Solid Python skills, experience with one additional language (C#/.Net, JavaScript, Java, or similar)
Platform Experience – Basic cloud experience (AWS, Azure, or GCP), familiarity with Linux environments
Development Practices – Understanding of version control (Git), exposure to CI/CD, basic Agile/Scrum experience
Data & Databases – Experience with SQL, basic understanding of data processing concepts
Eagerness to Learn – Interest in AI/ML technologies, geospatial systems, large-scale data processing
What We Offer:
Accelerated Learning – Work with cutting-edge AI and data technologies while receiving guidance from industry experts
Meaningful Impact – See your contributions deployed in systems that protect national security
Career Growth – Clear advancement path with mentorship and technical skill development opportunities
Cutting-Edge Technology – Hands-on experience with the latest AI, cloud, and data engineering technologies
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Seattle, WA, and requires an on-site presence Monday through Thursday, with Friday as required by business needs.
Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.
THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE
You'll tackle problems that don't exist elsewhere from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system, every algorithm, and every deployment you support directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.
PNNL is at the forefront of advanced AI engineering, driving innovation in areas like real-time multi-intelligence processing, petabyte-scale data management, and next-generation AI architectures for national security applications. We are seeking a motivated Software Engineer to join our dynamic team and contribute to cutting-edge projects that shape the future of critical technology. In this role, you'll work alongside experienced engineers to design, build, and optimize scalable systems for processing multi-modal intelligence data at a remarkable scale and speed. This is a unique opportunity to grow your skills in AI/ML engineering, data orchestration, and system architecture while delivering impactful solutions in a fast-paced environment where agility and reliability are key.
APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY
As a Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you'll contribute to mission-critical AI systems, help build enterprise-scale data platforms, and gain hands-on experience with some of the nation's most sophisticated intelligence and security applications. You'll receive mentorship from senior engineers, collaborate with research scientists, and see your code deployed in production systems that serve national security missions.
What You'll Build & Learn:
AI Systems Development – Contribute to agentic AI implementations, work with LLM integrations, learn MLOps best practices on real-world applications
Intelligence Platform Development – Build components for multi-INT fusion systems, develop GEOINT processing tools, contribute to threat analysis platforms
Data Engineering – Develop data pipelines, build analytics workflows, contribute to cloud-native data architectures
Professional Growth – Receive mentorship from senior engineers, participate in code reviews, learn enterprise software development practices
Technical Skills (We'll Help You Grow):
Programming Foundation – Solid Python skills, experience with one additional language (C#/.Net, JavaScript, Java, or similar)
Platform Experience – Basic cloud experience (AWS, Azure, or GCP), familiarity with Linux environments
Development Practices – Understanding of version control (Git), exposure to CI/CD, basic Agile/Scrum experience
Data & Databases – Experience with SQL, basic understanding of data processing concepts
Eagerness to Learn – Interest in AI/ML technologies, geospatial systems, large-scale data processing
What We Offer:
Accelerated Learning – Work with cutting-edge AI and data technologies while receiving guidance from industry experts
Meaningful Impact – See your contributions deployed in systems that protect national security
Career Growth – Clear advancement path with mentorship and technical skill development opportunities
Cutting-Edge Technology – Hands-on experience with the latest AI, cloud, and data engineering technologies
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in Seattle, WA, and requires an on-site presence Monday through Thursday, with Friday as required by business needs.
RequirementsQualifications
Minimum Qualifications:
PhD -OR-
MS/MA -OR-
BS/BA and 2 years of relevant experience
Preferred Qualifications:
Degree in computer science, software engineering, or related field
2+ years of experience in designing or deploying large-scale and high-performance ETL pipelines and analytics
2+ years Python or other software development experience
Understanding of software engineering and data management best practices
Understanding of cloud architecture and implementation
Familiar with machine learning algorithms, with experience in machine learning pipeline development
Active Federal Q Clearance and ability to maintain such clearance
Hazardous Working Conditions/Environment
Not Applicable
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionAbout PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:38pm - 4:39pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Monday, 17 November 2025 4:39pm-4:39pm Hall 6
Data Engineer 2 - MLOps
·
Pacific Northwest National Laboratory
·
Richland or Seattle, WA
Hide Details
SessionJob Postings
DescriptionAIDA’s Operational Readiness and Enablement (ORE) Team is looking for a Data Engineer (MLOps) to help play a crucial role in developing cutting edge software, scalable data architecture & pipelines, and AI/ML solutions in support of some of the nation’s biggest and most complex challenges.
Key Responsibilities in this role:
Identify mission challenges and methodically formulate engineering solutions
Demonstrate software engineering excellence and deliver high-quality results at scale
Develop software using a high-level programming language such as Python
Apply strong design principles and innovative problem-solving skills to complex technical challenges
Stay current on advancements in data management and database technologies
Take initiative in setting and pursuing personal goals and professional growth
Mentor and support the development of junior scientists and engineers
Communicate effectively, both verbally and in writing, and collaborate successfully in a team environment
How We Work:
Mission-Critical Development:
Design, develop, test, and deploy software applications that directly contribute to the nation’s mission objectives.
Collaborate with Government and Industry partners to understand mission needs, requirements, and translate them into robust and scalable software solutions.
Innovative Problem Solving:
Tackle complex technical challenges with creativity and innovation.
Propose and implement solutions that go beyond conventional approaches, ensuring the software we deliver is both efficient and impactful.
End-to-End Ownership:
Take ownership of the entire software development lifecycle, from initial concept to deployment.
Ensure the reliability, security, and performance of mission-critical software systems.
Collaborative Teamwork:
Work in an agile environment with multidisciplinary teams, including software engineers, cloud engineers, machine learning engineers, data scientists/domain experts, UX/UI, front-end developers, scrums masters, product owners, and most importantly, USERS.
Participate in code reviews and knowledge-sharing sessions to enhance the overall team skill set.
Continuous Learning:
Stay up-to-date with industry trends and emerging technologies to bring innovative ideas to the table.
Actively participate in training and development opportunities to enhance your skills and contribute to the team's growth.
Have opportunities to attend conferences and engage in industry events.
Technologies We Use:
Programming & Scripting – Python, C#/.Net, Bash, Powershell, JavaScript, typescript, [Java, C/C++]
Platforms – AWS, Azure, On-Prem, [IoT/ICS, GCP]
Development/Lifecycle – Agile/Scrum/Kanban/others, Gitlab/Atlassian, CI/CD & DevSecOps
Paradigms – Rapid prototypes with ad-hoc CSP managed services, well-architected solutions using Infrastructure as Code, compliant deployments in highly-regulated environments
Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB, DataBricks, Apache Spark
Data Complexities:
Volume – large, terabytes and petabytes of data
Variety – Images, audio, text, IoT, RF, GPS, edge sensors
Velocity – Sub-second and lower frequency
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
Key Responsibilities in this role:
Identify mission challenges and methodically formulate engineering solutions
Demonstrate software engineering excellence and deliver high-quality results at scale
Develop software using a high-level programming language such as Python
Apply strong design principles and innovative problem-solving skills to complex technical challenges
Stay current on advancements in data management and database technologies
Take initiative in setting and pursuing personal goals and professional growth
Mentor and support the development of junior scientists and engineers
Communicate effectively, both verbally and in writing, and collaborate successfully in a team environment
How We Work:
Mission-Critical Development:
Design, develop, test, and deploy software applications that directly contribute to the nation’s mission objectives.
Collaborate with Government and Industry partners to understand mission needs, requirements, and translate them into robust and scalable software solutions.
Innovative Problem Solving:
Tackle complex technical challenges with creativity and innovation.
Propose and implement solutions that go beyond conventional approaches, ensuring the software we deliver is both efficient and impactful.
End-to-End Ownership:
Take ownership of the entire software development lifecycle, from initial concept to deployment.
Ensure the reliability, security, and performance of mission-critical software systems.
Collaborative Teamwork:
Work in an agile environment with multidisciplinary teams, including software engineers, cloud engineers, machine learning engineers, data scientists/domain experts, UX/UI, front-end developers, scrums masters, product owners, and most importantly, USERS.
Participate in code reviews and knowledge-sharing sessions to enhance the overall team skill set.
Continuous Learning:
Stay up-to-date with industry trends and emerging technologies to bring innovative ideas to the table.
Actively participate in training and development opportunities to enhance your skills and contribute to the team's growth.
Have opportunities to attend conferences and engage in industry events.
Technologies We Use:
Programming & Scripting – Python, C#/.Net, Bash, Powershell, JavaScript, typescript, [Java, C/C++]
Platforms – AWS, Azure, On-Prem, [IoT/ICS, GCP]
Development/Lifecycle – Agile/Scrum/Kanban/others, Gitlab/Atlassian, CI/CD & DevSecOps
Paradigms – Rapid prototypes with ad-hoc CSP managed services, well-architected solutions using Infrastructure as Code, compliant deployments in highly-regulated environments
Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB, DataBricks, Apache Spark
Data Complexities:
Volume – large, terabytes and petabytes of data
Variety – Images, audio, text, IoT, RF, GPS, edge sensors
Velocity – Sub-second and lower frequency
National Interest Project Examples:
Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
RequirementsQualifications
Minimum Qualifications:
PhD -OR-
MS/MA -OR-
BS/BA and 2 years of relevant experience
Preferred Qualifications:
Degree in computer science, software engineering, or related field
2+ years of experience in designing or deploying large-scale and high-performance ETL and ELT pipelines and analytics
2+ years Python or other software development experience
Strong understanding of software engineering and data management best practices
Strong cloud architecture and implementation experience
Cloud and database certifications
Familiar with machine learning algorithms with hands-on experience in machine learning pipeline development
Active Q Clearance and ability to maintain such clearance
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionAbout PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:39pm - 4:39pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Senior Software Engineer - Agentic AI
·
Pacific Northwest National Laboratory
·
Richland or Seattle, WA
Hide Details
SessionJob Postings
DescriptionWe are looking for an experienced Senior Software Engineer to lead the design, development, execution, and integration of groundbreaking agentic AI agents. You will work on creating AI systems capable of dynamic reasoning, and actionable decision-making. This role will require you to collaborate with cross-functional teams and mentor junior scientists and engineers.
The ideal candidate will have demonstrated expertise in developing, deploying, and scaling agentic AI systems—systems characterized by autonomy, adaptability, reasoning and collaboration—and successfully applying them to complex domains like national security, scientific discovery, energy sustainability, or climate analysis.
This position is onsite and requires onsite work in either Richland, WA or Seattle, WA.
The ideal candidate will have demonstrated expertise in developing, deploying, and scaling agentic AI systems—systems characterized by autonomy, adaptability, reasoning and collaboration—and successfully applying them to complex domains like national security, scientific discovery, energy sustainability, or climate analysis.
This position is onsite and requires onsite work in either Richland, WA or Seattle, WA.
RequirementsMinimum Qualifications:
PhD and 3 years of relevant experience -OR-
MS/MA or higher and 5 years of relevant experience -OR-
BS/BA and 7 years of relevant experience -OR-
AA and 16 years of relevant experience -OR-
HS/GED and 18 years of relevant experience.
Qualifying software development experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development may be counted.
Preferred Qualifications:
Demonstrated expertise in designing and deploying agentic AI systems in real-world applications.
Experience engaging with funding agencies such as the Department of Energy, National Nuclear Security Administration, Department of Defense, or Department of Homeland Security, and demonstrated ability to initiate substantial new R&D efforts and collaborations.
Demonstrated experience in applying AI to scientific challenges, such as solving problems in energy systems, climate modeling, materials design, or molecular science.
Expert-level software engineering: Git-based workflows, code reviews, automated testing, CI/CD pipelines, static analysis, thorough documentation, secure coding practices, performance profiling, and Agile/DevOps methodologies.
Cloud-native system design: API and microservice architecture, containerization and orchestration (Docker/Kubernetes), infrastructure as code, and full-stack observability (logging, metrics, tracing).
Mature MLOps capabilities: experiment tracking, model and data versioning, automated deployment/rollback, monitoring, and governance of production ML services.
Fluency in Python and proficiency in at least one additional language (e.g., C++ or Go).
Hands-on experience with leading deep-learning frameworks (PyTorch, TensorFlow, or JAX).
Deep, practical expertise with modern LLM-orchestration and agent frameworks (LangChain, LlamaIndex, etc.) and related open-source tooling.
Solid understanding of system design, microservice architecture, and distributed computing; experience scaling ML workloads with Kubernetes, Ray, Spark, or similar technologies.
Production experience on major cloud platforms (AWS, Azure, GCP) and/or secure edge deployments.
Experience integrating multi-modal data sources (text, vision, structured/sensor data) into cohesive reasoning or decision pipelines.
Familiarity with state-of-the-art generative AI techniques: LLM fine-tuning (LoRA/PEFT, QLoRA over SLM, data set preparation), retrieval-augmented generation, prompt engineering, and evaluation.
Contributions to open-source AI ecosystems (e.g., Hugging Face, LangChain, Llama) or peer-reviewed publications.
Collaborative, self-directed problem solver who can translate ambiguous requirements into actionable technical roadmaps and mentor junior staff.
Excellent written and verbal communication skills; able to convey complex ideas to technical and non-technical audiences.
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
"Referral Eligible”
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionAbout PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:39pm - 4:39pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Senior Data Scientist - AI-Enabled Signal Exploitation
·
Pacific Northwest National Laboratory
·
Richland, WA
Hide Details
SessionJob Postings
DescriptionWe are seeking a Senior Data Scientist - AL-Enabled Signal Exploitation. This role blends basic research and real-world implementation to solve some of the most complex and cutting-edge challenges in modern communication and signal processing. The primary focus of this position is the development and implementation of advanced artificial intelligence (AI) algorithms to enhance the performance, security, and efficiency of radio frequency (RF) communication and sensing systems.
Key Responsibilities:
Conduct cutting-edge research to develop new AI techniques and algorithms for RF signal processing, including but not limited to automatic modulation recognition, signal detection and classification, and adaptive communication systems.
Apply machine learning and deep learning methodologies to improve the analysis, interpretation, and management of RF signals in noisy and contested environments.
Collaborate with cross-disciplinary teams to integrate AI technologies into existing and next-generation RF communication systems, ensuring they meet stringent security and reliability standards.
Design, implement, and iterate on novel deep learning methods to directly address National Security problems.
Ability to recreate state-of-the-art architectures, training techniques, and digital signal processing blocks from journal publications with minimal examples and/or author code access.
Stay abreast of advancements in AI, machine learning, and RF technologies to identify opportunities for innovation and improvement in national security applications.
This position is based in either Richland, WA and requires an onsite presence.
Key Responsibilities:
Conduct cutting-edge research to develop new AI techniques and algorithms for RF signal processing, including but not limited to automatic modulation recognition, signal detection and classification, and adaptive communication systems.
Apply machine learning and deep learning methodologies to improve the analysis, interpretation, and management of RF signals in noisy and contested environments.
Collaborate with cross-disciplinary teams to integrate AI technologies into existing and next-generation RF communication systems, ensuring they meet stringent security and reliability standards.
Design, implement, and iterate on novel deep learning methods to directly address National Security problems.
Ability to recreate state-of-the-art architectures, training techniques, and digital signal processing blocks from journal publications with minimal examples and/or author code access.
Stay abreast of advancements in AI, machine learning, and RF technologies to identify opportunities for innovation and improvement in national security applications.
This position is based in either Richland, WA and requires an onsite presence.
RequirementsMinimum Qualifications:
BS/BA and 5+ years of relevant work experience -OR-
MS/MA and 3+ years of relevant work experience -OR-
PhD with 1+ year of relevant experience
Preferred Qualifications:
Experience in AI/ML/DL in applied science/research for national security challenges
Experience leading research efforts that apply machine learning and artificial intelligence to communications, signal processing, time series, radio frequency applications
Experience in Python development and common associated libraries (e.g., Pandas, Numpy, Scipy)
Experience and proficiency developing, training, and testing machine learning models in frameworks like PyTorch
Active DOE Q clearance and ability to maintain such clearance
Active TS/SCI clearance and ability to maintain such clearance
Strong communication and cross-functional collaboration skills
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionAbout PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:39pm - 4:39pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Monday, 17 November 2025 4:39pm-4:40pm Hall 6
Senior AI Researcher – AI for NNSA Missions
·
Pacific Northwest National Laboratory
·
Richland, WA
Hide Details
SessionJob Postings
DescriptionWe are seeking a dynamic Senior AI Researcher to drive innovative AI research initiatives in support of NNSA missions. This exciting role blends basic research and real-world context to solve some of the most complex and cutting-edge challenges in NNSA mission areas. The role focuses on advancing national security through the development of next-generation AI capabilities.
Responsibilities Include:
Leading technical direction of high-impact research projects that apply advanced AI methods to solve complex national security challenges across diverse data types and operational contexts.
Leading development of compelling, competitive research proposals that align with evolving priorities.
Developing and adapting AI/machine learning (ML) techniques for varied data modalities, such as text, image, tabular, sensor readings, to support real-world applications in national security.
Building and leading interdisciplinary teams, fostering collaboration across technical domains.
Reproducing, evaluating, and extending state-of-the-art AI methods ensuring scientific rigor and mission relevance.
Maintaining awareness of emerging trends in AI and national security to shape future research directions and identify new opportunities for impact.
This position is based in either Richland, WA and requires an onsite presence.
Responsibilities Include:
Leading technical direction of high-impact research projects that apply advanced AI methods to solve complex national security challenges across diverse data types and operational contexts.
Leading development of compelling, competitive research proposals that align with evolving priorities.
Developing and adapting AI/machine learning (ML) techniques for varied data modalities, such as text, image, tabular, sensor readings, to support real-world applications in national security.
Building and leading interdisciplinary teams, fostering collaboration across technical domains.
Reproducing, evaluating, and extending state-of-the-art AI methods ensuring scientific rigor and mission relevance.
Maintaining awareness of emerging trends in AI and national security to shape future research directions and identify new opportunities for impact.
This position is based in either Richland, WA and requires an onsite presence.
RequirementsMinimum Qualifications:
BS/BA and 5+ years of relevant work experience -OR-
MS/MA and 3+ years of relevant work experience -OR-
PhD with 1+ year of relevant experience
Preferred Qualifications:
Experience in AI/ML/DL in applied science/research for national security challenges.
Experience as a principal investigator leading research efforts that apply ML and AI to challenges that address NNSA mission areas.
Experience developing proposals for novel AI/ML research projects.
Expertise in nuclear nonproliferation, safeguards, material science.
Experience in Python development and common associated libraries (e.g., Pandas, Numpy, Scipy).
Experience and proficiency developing, training, and testing ML models in frameworks like PyTorch.
Active DOE Q clearance and ability to maintain such clearance.
Active TS/SCI clearance and ability to maintain such clearance.
Strong communication and cross-functional collaboration skills.
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionPacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:39pm - 4:40pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Monday, 17 November 2025 4:40pm-4:40pm Hall 6
Chief Data Scientist – GEOINT Domain
·
Pacific Northwest National Laboratory
·
Richland or Seattle, WA
Hide Details
SessionJob Postings
DescriptionPNNL is seeking a Chief Data Scientist with deep expertise in data science and mission-specific knowledge in the geospatial intelligence (GEOINT) domain. The selected candidate will lead large, multi-year research and development programs within the AI and Data Analytics Division, which includes over 400 staff specializing in data science, applied mathematics, advanced analytic architectures, software engineering, and human-centered computing.
As a nationally recognized leader in data science, the Chief Data Scientist will set strategic vision, direct complex research programs, and operationalize data-driven solutions to address critical national security challenges. This individual will guide technical direction, mentor interdisciplinary teams, and collaborate closely with software engineers to transition cutting-edge research into field-ready capabilities.
In addition to leading research efforts, the Chief Data Scientist will serve as a key interface with sponsors and stakeholders, leveraging domain expertise to align PNNL’s research agenda with evolving mission requirements. The chosen candidate will have the unique opportunity to drive real-world impact at mission tempo while supporting PNNL's mission to tackle grand challenges through science, technology, and innovation.
The successful candidate will work with talented multi-disciplinary teams on a variety of the nation’s most complex science and engineering problems, delivering advanced AI solutions into critical sponsor missions. At PNNL, we foster a collaborative, adventurous environment focused on lifelong learning and creative problem-solving, while striving for leadership in interdisciplinary, data-driven innovation.
Key Responsibilities:
Strategic Leadership: Define and execute a strategic vision for large, multi-year GEOINT data science programs, advancing geospatial analytics and operational AI capabilities.
Team Leadership: Lead and mentor diverse teams of data scientists and software engineers by guiding analytic methodologies, research approaches, and project implementation. This includes developing advance machine learning (ML) models, designing end-to-end workflows, and performing model testing and validation.
Operational Integration: Collaborate with software engineering teams to integrate analytic capabilities into scalable, field-ready systems.
Program Oversight: Serve as principal investigator on highly visible programs, ensuring technical excellence, meeting research milestones, and fostering sponsor relationships.
Development of New Opportunities: Identify and lead proposal efforts to shape future investments in GEOINT analytics and AI research.
Technical Representation: Represent PNNL leadership in GEOINT research via publishing, presenting in high-impact venues, and participating in national technical exchanges.
Collaboration: Establish and foster partnerships across PNNL, other DOE national laboratories, academia, and industry to accelerate innovation and deliver mission-aligned solutions.
Sponsor Engagement: Engage directly with government sponsors, ensuring research outcomes meet operational objectives and requirements.
Mentorship: Mentor and develop future technical leaders, helping to build a world-class GEOINT data science workforce.
Mission-Specific Responsibilities:
Sponsor Engagement: Serve as the primary interface with sponsors and develop a deep understanding of their mission priorities.
Operational Awareness: Gain insight into sponsors’ operational environments and technical requirements to enable effective deployment of new capabilities.
Strategy Development: Support the ideation and execution of strategic initiatives by identifying key stakeholders and outlining actionable plans.
Role of PNNL: Effectively communicate and leverage PNNL’s role in the larger mission landscape, addressing technical solutions, relevant use cases, and critical challenges.
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
As a nationally recognized leader in data science, the Chief Data Scientist will set strategic vision, direct complex research programs, and operationalize data-driven solutions to address critical national security challenges. This individual will guide technical direction, mentor interdisciplinary teams, and collaborate closely with software engineers to transition cutting-edge research into field-ready capabilities.
In addition to leading research efforts, the Chief Data Scientist will serve as a key interface with sponsors and stakeholders, leveraging domain expertise to align PNNL’s research agenda with evolving mission requirements. The chosen candidate will have the unique opportunity to drive real-world impact at mission tempo while supporting PNNL's mission to tackle grand challenges through science, technology, and innovation.
The successful candidate will work with talented multi-disciplinary teams on a variety of the nation’s most complex science and engineering problems, delivering advanced AI solutions into critical sponsor missions. At PNNL, we foster a collaborative, adventurous environment focused on lifelong learning and creative problem-solving, while striving for leadership in interdisciplinary, data-driven innovation.
Key Responsibilities:
Strategic Leadership: Define and execute a strategic vision for large, multi-year GEOINT data science programs, advancing geospatial analytics and operational AI capabilities.
Team Leadership: Lead and mentor diverse teams of data scientists and software engineers by guiding analytic methodologies, research approaches, and project implementation. This includes developing advance machine learning (ML) models, designing end-to-end workflows, and performing model testing and validation.
Operational Integration: Collaborate with software engineering teams to integrate analytic capabilities into scalable, field-ready systems.
Program Oversight: Serve as principal investigator on highly visible programs, ensuring technical excellence, meeting research milestones, and fostering sponsor relationships.
Development of New Opportunities: Identify and lead proposal efforts to shape future investments in GEOINT analytics and AI research.
Technical Representation: Represent PNNL leadership in GEOINT research via publishing, presenting in high-impact venues, and participating in national technical exchanges.
Collaboration: Establish and foster partnerships across PNNL, other DOE national laboratories, academia, and industry to accelerate innovation and deliver mission-aligned solutions.
Sponsor Engagement: Engage directly with government sponsors, ensuring research outcomes meet operational objectives and requirements.
Mentorship: Mentor and develop future technical leaders, helping to build a world-class GEOINT data science workforce.
Mission-Specific Responsibilities:
Sponsor Engagement: Serve as the primary interface with sponsors and develop a deep understanding of their mission priorities.
Operational Awareness: Gain insight into sponsors’ operational environments and technical requirements to enable effective deployment of new capabilities.
Strategy Development: Support the ideation and execution of strategic initiatives by identifying key stakeholders and outlining actionable plans.
Role of PNNL: Effectively communicate and leverage PNNL’s role in the larger mission landscape, addressing technical solutions, relevant use cases, and critical challenges.
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
RequirementsMinimum Qualifications:
BS/BA and 9+ years of relevant work experience -OR-
MS/MA and 7+ years of relevant work experience -OR-
PhD with 5+ year of relevant experience
Preferred Qualifications:
Advanced degree in computing, engineering, geospatial sciences, or related discipline.
Nationally recognized expertise in GEOINT, geospatial analytics, or operational AI.
Advanced ML Model Development: Experience designing, implementing, and training state-of-the-art object detection and image classification models (including foundation models) for overhead imagery, with expertise in synthetic data generation, data augmentation, knowledge distillation, and continuous learning approaches. Expertise in multi-modal data fusion is highly desired.
End-to-End Workflow Design: Proven ability to develop and deploy complete machine learning pipelines that rapidly process and exploit large-scale overhead imagery datasets, including experience with the full image processing chain and handling large structured/unstructured datasets.
Model Testing & Validation: Experience with comprehensive test and evaluation (T&E) and verification and validation (V&V) methodologies for ML models, including defining testing protocols and iteratively refining models based on performance feedback.
Overhead Intelligence Domain Knowledge: Familiarity with overhead collection platforms and their technical characteristics as they relate to imagery analysis and processing workflows.
Strong record of securing external funding, managing research portfolios, and initiating new R&D programs.
Demonstrated ability to collaborate effectively with software engineering teams to deliver operational solutions.
Experience working effectively with funding sponsors such as DOE, NNSA, DoD, or DHS, with the ability to influence strategic investments.
Exceptional communication and leadership skills, with the ability to represent PNNL at national and international levels in government, industry, and academia.
Active security clearance (or the ability to obtain and maintain one).
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.Eligible”
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionPacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:40pm - 4:40pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Data Scientist II - AI Assurance Researcher
·
Pacific Northwest National Laboratory
·
Seattle or Richland, WA
Hide Details
SessionJob Postings
DescriptionPNNL is seeking a Data Scientist II - AI Assurance Researcher who has experience in understanding, exploring, and manipulating the internal mechanics and behaviors of AI models and can provide valuable insights into the decision boundaries and mathematical fingerprints of data properties. The selected candidate should have extensive experience training models, accessing and working with data embeddings, the ability to derive theoretical queries from empirical results, and demonstrate the capacity to translate research papers and findings into mission relevant insights and tools.
Key Responsibilities:
Design and execute machine learning (ML) experiments that follow the current best practices within the community, including large scale experiments on HPC (e.g. experiments that take a week)
Evaluate AI systems across multiple axes, including standard performance metrics but also generalization to out-of-distribution settings
Write high-quality research code
Assess empirical results to guide future research and experimental steps
Conduct work in secure environments and execute work from an operational security perspective
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
Key Responsibilities:
Design and execute machine learning (ML) experiments that follow the current best practices within the community, including large scale experiments on HPC (e.g. experiments that take a week)
Evaluate AI systems across multiple axes, including standard performance metrics but also generalization to out-of-distribution settings
Write high-quality research code
Assess empirical results to guide future research and experimental steps
Conduct work in secure environments and execute work from an operational security perspective
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
RequirementsMinimum Qualifications:
BS/BA and 2 years of relevant experience -OR-
MS/MA -OR-
PhD
Preferred Qualifications:
Degree in computer science, engineering, mathematics, or related fields
Familiarity with the current ML research landscape, especially xAI, adversarial machine learning, AI safety, and the science of deep learning
Interest in taking research prototypes to deployable tools for AI researchers
Familiarity with PyTorch and other associated deep learning libraries
Hands-on experience analyzing the internal structures of deep learning models, particularly those associated with large language models and large vision models
SCI Clearance
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionPacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:40pm - 4:40pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Monday, 17 November 2025 4:40pm-4:41pm Hall 6
Data Scientist II - ML Engineer-AI Assurance
·
Pacific Northwest National Laboratory
·
Richland or Seattle, WA
Hide Details
SessionJob Postings
DescriptionPNNL is seeking a Data Scientist II - Machine Learning (ML)-AI Assurance Engineer who has experience refactoring and modularizing research code for maintainability, extensibility, and reusability. The selected candidate must be able to collaborate effectively across research and engineering teams to align research goals with deployment requirements, and to develop packages, APIs, and interfaces that enable straightforward integration into mission-relevant environments. They should be fluent in Python and modern ML frameworks, and comfortable working with unstructured, experimental code.
Key Responsibilities:
Refactor, modularize, and optimize research code for maintainability and scalability
Collaborate with researchers to understand algorithmic intent and with engineers to ensure integration into broader systems
Develop tools and APIs to enable integrations into mission-relevant environments and workflows
Write clear, well-documented code and participate in code reviews
Conduct work in secure environments and execute work from an operational security perspective
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
Key Responsibilities:
Refactor, modularize, and optimize research code for maintainability and scalability
Collaborate with researchers to understand algorithmic intent and with engineers to ensure integration into broader systems
Develop tools and APIs to enable integrations into mission-relevant environments and workflows
Write clear, well-documented code and participate in code reviews
Conduct work in secure environments and execute work from an operational security perspective
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
RequirementsQualifications
Minimum Qualifications:
BS/BA and 2 years of relevant experience -OR-
MS/MA -OR-
PhD
Preferred Qualifications:
Degree in computer science, engineering, mathematics, or related fields
Experience in research engineering, ML engineering, AI systems integration, or applied data science
Strong proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
Comfortable navigating research codebases (Jupyter notebooks, unstructured scripts) and translating them into production-ready components
Excellent communication and cross-functional collaboration skills
SCI Clearance
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionPacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:40pm - 4:41pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Monday, 17 November 2025 4:41pm-4:41pm Hall 6
Senior Data Scientist - ML Engineer-AI Assurance
·
Pacific Northwest National Laboratory
·
Richland or Seattle, WA
Hide Details
SessionJob Postings
DescriptionPNNL is seeking a Senior Data Scientist - ML Engineer-AI Assurance who has deep experience refactoring and modularizing research code for maintainability, extensibility, and reusability. The selected candidate must be able to collaborate effectively across research and engineering teams to align research goals with deployment requirements, and to develop packages, APIs, and interfaces that enable straightforward integration into mission-relevant environments. They should be fluent in Python and modern ML frameworks, and comfortable working with unstructured, experimental code.
Key Responsibilities:
Lead refactors, modularization, and optimization of research code for maintainability and scalability
Drive collaboration with researchers to understand algorithmic intent and with engineers to ensure integration into broader systems
Mentor junior staff on best practices to integrate research into broader systems
Design and develop tools and APIs to enable integrations into mission-relevant environments and workflows
Write clear, well-documented code and participate in code reviews
Conduct work in secure environments and execute work from an operational security perspective
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
Key Responsibilities:
Lead refactors, modularization, and optimization of research code for maintainability and scalability
Drive collaboration with researchers to understand algorithmic intent and with engineers to ensure integration into broader systems
Mentor junior staff on best practices to integrate research into broader systems
Design and develop tools and APIs to enable integrations into mission-relevant environments and workflows
Write clear, well-documented code and participate in code reviews
Conduct work in secure environments and execute work from an operational security perspective
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
RequirementsMinimum Qualifications:
BS/BA and 5+ years of relevant work experience -OR-
MS/MA and 3+ years of relevant work experience -OR-
PhD with 1+ year of relevant experience
Preferred Qualifications:
Degree in computer science, engineering, mathematics, or related fields
Experience in research engineering, ML engineering, AI systems integration, or applied data science
Strong proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
Comfort navigating research codebases (Jupyter notebooks, unstructured scripts) and translating them into production-ready components
Excellent communication and cross-functional collaboration skills
SCI Clearance
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionPacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:41pm - 4:41pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Senior Data Scientist - AI Assurance Researcher
·
Pacific Northwest National Laboratory
·
Richland or Seattle, WA
Hide Details
SessionJob Postings
DescriptionPNNL is seeking a Senior Data Scientist - AI Assurance Researcher who has experience in understanding, exploring, and manipulating the internal mechanics and behaviors of AI models can provides valuable insights into the decision boundaries and mathematical fingerprints of data properties. The selected candidate should have extensive experience training models, accessing and working with data embeddings, the ability to derive theoretical queries from empirical results, and demonstrate the capacity to translate research papers and findings into mission relevant insights and tools.
Key Responsibilities:
Lead the design and execution of machine learning (ML) experiments that follow the current best practices within the community, including large scale experiments on HPC (e.g. experiments that take a week)
Evaluate AI systems across multiple axes, including standard performance metrics but also generalization to out-of-distribution settings
Lead the development of high-quality research code along with instituting best practices to enable research integration
Assess empirical results to determine and decide future research and experimental steps
Conduct work in secure environments and execute work from an operational security perspective
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
Key Responsibilities:
Lead the design and execution of machine learning (ML) experiments that follow the current best practices within the community, including large scale experiments on HPC (e.g. experiments that take a week)
Evaluate AI systems across multiple axes, including standard performance metrics but also generalization to out-of-distribution settings
Lead the development of high-quality research code along with instituting best practices to enable research integration
Assess empirical results to determine and decide future research and experimental steps
Conduct work in secure environments and execute work from an operational security perspective
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
RequirementsMinimum Qualifications:
BS/BA and 5+ years of relevant work experience -OR-
MS/MA and 3+ years of relevant work experience -OR-
PhD with 1+ year of relevant experience
Preferred Qualifications:
Degree in computer science, engineering, mathematics, or related fields
Familiarity with the current ML research landscape, especially xAI, adversarial machine learning, AI safety, and the science of deep learning
Interest in taking research prototypes to deployable tools for AI researchers
Familiarity with PyTorch and other associated deep learning libraries
Hands-on experience analyzing the internal structures of deep learning models, particularly those associated with large language models and large vision models
SCI Clearance
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Company DescriptionPacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:41pm - 4:41pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
In-person
Full Time
Monday, 17 November 2025 4:41pm-4:42pm Hall 6
Post Doctorate Research Associate- Quantum Computing
·
Pacific Northwest National Laboratory
·
United States, Remote
Hide Details
SessionJob Postings
DescriptionThe Future Computing Technologies Group within ACMDD is seeking a Postdoctoral Research Associate in Quantum Computing. This position offers the opportunity to conduct impactful research in collaboration with leading experts at PNNL and partner institutions, including a team based in New York City.
Ideal candidates will have a strong background in one or more of the following areas:
Quantum error correction, detection, and mitigation.
Deployment of quantum algorithms and protocols on near-term hardware.
Machine learning for quantum computing and simulation of quantum systems.
Emerging quantum technologies such as neutral atom systems and erasure qubits.
Benchmarking, verification, and validation toolkit development for quantum computing.
Quantum resource estimation for NISQ and fault-tolerant quantum computing (FTQC).
Quantum algorithm development, optimization, and circuit transpilation for NISQ and FTQC
Responsibilities will include:
Conduct innovative research to advance the state of the art in one or more target areas, working in close collaboration with staff scientists.
Mentor and collaborate with interns at PNNL, providing both scientific guidance and academic support.
Publish research findings in leading computer architecture and physics venues such as ISCA, ASPLOS, MICRO, HPCA, PRX Quantum, Quantum, and npj Quantum Information.
Present research progress and results during weekly team meetings and other technical forums.
Collaborate with interns, postdocs, and staff scientists to help expand and strengthen PNNL’s quantum ecosystem and research capabilities.
The assignment duration is for two years
Ideal candidates will have a strong background in one or more of the following areas:
Quantum error correction, detection, and mitigation.
Deployment of quantum algorithms and protocols on near-term hardware.
Machine learning for quantum computing and simulation of quantum systems.
Emerging quantum technologies such as neutral atom systems and erasure qubits.
Benchmarking, verification, and validation toolkit development for quantum computing.
Quantum resource estimation for NISQ and fault-tolerant quantum computing (FTQC).
Quantum algorithm development, optimization, and circuit transpilation for NISQ and FTQC
Responsibilities will include:
Conduct innovative research to advance the state of the art in one or more target areas, working in close collaboration with staff scientists.
Mentor and collaborate with interns at PNNL, providing both scientific guidance and academic support.
Publish research findings in leading computer architecture and physics venues such as ISCA, ASPLOS, MICRO, HPCA, PRX Quantum, Quantum, and npj Quantum Information.
Present research progress and results during weekly team meetings and other technical forums.
Collaborate with interns, postdocs, and staff scientists to help expand and strengthen PNNL’s quantum ecosystem and research capabilities.
The assignment duration is for two years
RequirementsMinimum Qualifications:
Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.
Preferred Qualifications:
Ph.D. in Computer Science, Physics, Electrical Engineering, Applied Mathematics, or a related field.
Background in quantum error correction, algorithms, and circuit optimization.
Experience with near-term quantum hardware (e.g., IBM, IonQ, Quantinuum, Rigetti, IQM).
Familiarity with machine learning applications in quantum computing and simulation.
Knowledge of emerging quantum technologies such as neutral atom systems or erasure qubits.
Experience with benchmarking, verification, and resource estimation for NISQ and FTQC platforms.
Proficiency in Python and quantum software frameworks (e.g., Qiskit, Cirq, PennyLane).
Strong publication record and ability to collaborate across interdisciplinary teams.
Hazardous Working Conditions/Environment
Not applicable
Testing Designated Position
This is not a Testing Designated Position (TDP).
Company DescriptionPacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:41pm - 4:42pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
Remote
Full Time
Monday, 17 November 2025 4:42pm-4:42pm Hall 6
Senior HPC Engineer
·
Texas A&M University
·
College Station
Hide Details
SessionJob Postings
DescriptionHere’s a Glimpse of the Job
We are making a bold leap into the future of artificial intelligence with a $45 million
investment in an NVIDIA DGX SuperPOD. This investment underscores our commitment
to all Texas A&M System members’ faculty and staff providing cutting-edge research
and super computing needs. As a Senior High Performance Computing Engineer (HPC),
you will provide technical expertise and consultation for the design and deployment of
HPC systems. Get in on the ground floor with a team that is shaping the next
generation of innovation.
This position is security sensitive requiring U.S. Citizenship.
Opportunities to Contribute
• Manage large-scale HPC cluster operations, including OS upgrades, firmware
patching, and performance tuning.
• Oversee networking, security, and infrastructure for HPC systems.
• Lead the development of specialized HPC computing clouds and scalable storage
systems.
• Collaborate with stakeholders to develop service-based solutions.
• Serve as a strategic technical resource across departments.
• Lead enterprise-wide HPC projects using established project management
protocols.
• Mentor junior system administrators and enforce performance standards.
What you need to know
Salary: $125-136K
Location: In-person role in College Station, Texas
Schedule: This role may require working outside of standard office hours, including
evenings, weekends, and holidays, to support the demands of technology services and
ensure the seamless operation of essential systems.
Citizenship: Must be a United States citizen, permanent resident, or a person granted
asylum or refugee status in accordance with 15 CFR, Part 762; 22 CFR §§122.5, 123.22
and 123.26; and 31 CFR § 501.601
We are making a bold leap into the future of artificial intelligence with a $45 million
investment in an NVIDIA DGX SuperPOD. This investment underscores our commitment
to all Texas A&M System members’ faculty and staff providing cutting-edge research
and super computing needs. As a Senior High Performance Computing Engineer (HPC),
you will provide technical expertise and consultation for the design and deployment of
HPC systems. Get in on the ground floor with a team that is shaping the next
generation of innovation.
This position is security sensitive requiring U.S. Citizenship.
Opportunities to Contribute
• Manage large-scale HPC cluster operations, including OS upgrades, firmware
patching, and performance tuning.
• Oversee networking, security, and infrastructure for HPC systems.
• Lead the development of specialized HPC computing clouds and scalable storage
systems.
• Collaborate with stakeholders to develop service-based solutions.
• Serve as a strategic technical resource across departments.
• Lead enterprise-wide HPC projects using established project management
protocols.
• Mentor junior system administrators and enforce performance standards.
What you need to know
Salary: $125-136K
Location: In-person role in College Station, Texas
Schedule: This role may require working outside of standard office hours, including
evenings, weekends, and holidays, to support the demands of technology services and
ensure the seamless operation of essential systems.
Citizenship: Must be a United States citizen, permanent resident, or a person granted
asylum or refugee status in accordance with 15 CFR, Part 762; 22 CFR §§122.5, 123.22
and 123.26; and 31 CFR § 501.601
RequirementsQualifications
• Bachelor’s degree in applicable field or equivalent combination of education and
experience
• 12 years of related experience
A well-qualified candidate should possess one or more of the following:
• Experience with High Performance Computing (HPC) environments
• Advanced Linux system administration skills
• Familiarity with computer networking concepts and protocols
• Experience with container orchestration tools such as Kubernetes
• Knowledge of Run:ai for AI workload management
• Proficiency with Slurm workload manager
• Experience working with NVIDIA DGX systems
• Understanding of virtualization technologies
• Familiarity with Infrastructure as a Service (IaaS) platforms
• Experience with DDN storage solutions
• Knowledge of network-attached storage systems
Company DescriptionAt Texas A&M University, we stand to be the best for the world. Since 1876, Aggies have answered the call to lead with character and serve with compassion — for Texas, the nation and beyond.
Our research drives solutions that matter: from disaster preparedness and agriculture to immersive technology, robotics, leadership and civics. Our students leave prepared to create anything possible — equipped with knowledge, shaped by values and committed to serving for the good of our communities.
This is what it means to be an Aggie: to stand together as a force for good.
·
·
2025-11-12
Event Type
Job Posting
TimeMonday, 17 November 20254:42pm - 4:42pm CST
LocationHall 6
United States of America
Texas A&M University
In-person
Full Time
Similar Presentations
Masters Intern - Quantum Computing
·
Pacific Northwest National Laboratory
·
United States, Remote
Hide Details
SessionJob Postings
DescriptionThe Future Computing Technology Group at the Pacific Northwest National Laboratory (PNNL) is seeking highly motivated Masters interns for 2026.
Responsibilities:
Contribute and research a variety of topics with close collaboration with staff scientists
Present research progress and work in weekly team meetings, communicating progress and results
Engage with interns, post-docs and staff scientists in helping develop the quantum ecosystem capabilities
The internship is three months long, subject to extension based on performance and project needs. Interns can engage in cutting-edge research and contribute to impactful projects alongside our world-class team. This position will collaborate with a team in New York City.
Responsibilities:
Contribute and research a variety of topics with close collaboration with staff scientists
Present research progress and work in weekly team meetings, communicating progress and results
Engage with interns, post-docs and staff scientists in helping develop the quantum ecosystem capabilities
The internship is three months long, subject to extension based on performance and project needs. Interns can engage in cutting-edge research and contribute to impactful projects alongside our world-class team. This position will collaborate with a team in New York City.
RequirementsMinimum Qualifications:
Candidates must be matriculated/enrolled in a Master's program at an accredited college or university.
Minimum GPA of 3.0 is required.
Preferred Qualifications:
Understanding of quantum error correction, detection, and mitigation techniques.
Interest or experience in implementing quantum algorithms and protocols on near-term quantum hardware.
Familiarity with machine learning methods as applied to quantum computing.
Experience or coursework involving machine learning for simulating quantum systems.
Exposure to emerging quantum technologies such as neutral atom systems or erasure qubits.
Interest in developing benchmarking, verification, and validation tools for quantum computing.
Understanding of quantum resource estimation for NISQ (Noisy Intermediate-Scale Quantum) and fault-tolerant quantum computing (FTQC).
Experience or coursework related to quantum algorithm development and optimization.
Familiarity with quantum circuit optimization and transpilation for NISQ and FTQC systems.
Company DescriptionPacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:42pm - 4:42pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
Remote
Full Time
PhD Intern- Quantum Computing
·
Pacific Northwest National Laboratory
·
United States, Remote
Hide Details
SessionJob Postings
DescriptionThe Future Computing Technology Group at the Pacific Northwest National Laboratory (PNNL) is seeking highly motivated PhD interns for 2026.
Responsibilities:
Contribute and research a variety of topics with close collaboration with staff scientists
Present research progress and work in weekly team meetings, communicating progress and results
Engage with interns, post-docs and staff scientists in helping develop the quantum ecosystem capabilities
The internship is three months long, subject to extension based on performance and project needs. Interns can engage in cutting-edge research and contribute to impactful projects alongside our world-class team. This position will collaborate with a team in New York City.
Responsibilities:
Contribute and research a variety of topics with close collaboration with staff scientists
Present research progress and work in weekly team meetings, communicating progress and results
Engage with interns, post-docs and staff scientists in helping develop the quantum ecosystem capabilities
The internship is three months long, subject to extension based on performance and project needs. Interns can engage in cutting-edge research and contribute to impactful projects alongside our world-class team. This position will collaborate with a team in New York City.
RequirementsMinimum Qualifications:
Candidates must be currently enrolled/matriculated in a PhD program at an accredited college.
Minimum GPA of 3.0 is required.
Preferred Qualifications:
Demonstrated expertise in quantum error correction, detection, and mitigation strategies to enhance computational reliability.
Experience with deploying quantum algorithms and protocols on near-term quantum hardware platforms.
Proficiency in machine learning techniques for quantum computing, including hybrid quantum-classical approaches.
Research or applied experience in machine learning–based simulation of quantum systems.
Knowledge of emerging quantum technologies, such as neutral atom systems, erasure qubits, or related architectures.
Background in developing benchmarking, verification, and validation toolkits for assessing quantum hardware and algorithms.
Experience with quantum resource estimation for both NISQ (Noisy Intermediate-Scale Quantum) and fault-tolerant quantum computing (FTQC) regimes.
Proven ability in quantum algorithm development and performance optimization for real-world problem domains.
Familiarity with quantum circuit optimization and transpilation techniques applicable to NISQ and FTQC environments.
Company DescriptionPacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:42pm - 4:42pm CST
LocationHall 6
United States of America
Pacific Northwest National Laboratory
Remote
Full Time
Monday, 17 November 2025 4:42pm-4:43pm Hall 6
Dev Ops Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionDev Ops Engineer - 104923
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for a Dev Ops Engineer to join the team.
In this exciting role, you will serve as a DevOps-oriented System Administrator/Software Engineer (Computer Systems Engineer 3/4) at the National Energy Research Scientific Computing Center (NERSC) to help architect, deploy, configure, and operate large scale, leading-edge high-performance computing (HPC) systems. You will work collaboratively to develop and operate large-scale compute and storage platforms to support NERSC's mission of accelerating scientific discovery through high-performance computing and data analysis. Working with teams at NERSC, other national laboratories, HPC vendors and open-source communities you will develop innovative solutions that enable science as well as improve the state of HPC practice on an international stage. Your focus will be to improve and operate NERSC's largest HPC resources, Perlmutter and Doudna, and to work with the rest of the HPC community to develop and maintain world class system software.
The selected candidate(s) will be hired at the Computer Systems Engineer 3 or 4 (CSE3 or CSE4) depending on their level of skills and experience.
What You Will Do if hired at a Level 3:
• Participate in team-oriented agile development and management process for HPC systems using languages like Go, Rust and Python
• Develop and maintain APIs to securely expose system functionality to end users
• Automate common tasks and processes to continuously improve HPC systems management
• Analyze system issues and develop solutions to improve end-user experience
• Be part of a team that installs, tests, maintains and manages HPC systems
• Assist with technology evaluation of systems and system architecture
• Work with vendors to prioritize, develop and enhance their technologies in order to better meet the needs of our users
• Be part of team providing on-call rotation for 24x7 HPC system support
• Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.
• Determine methods and procedures on new assignments and may coordinate activities of other personnel.
• Network with key contacts outside own area of expertise.
In Additional Responsibilities if hired at a Level 4:
• Provide leadership and technical guidance to group members, and members of other groups at NERSC.
• Recommend and lead implementation and deployment efforts for system improvements that enhance reliability, stability, usability, performance and security.
• Identify and evaluate emerging HPC technologies and explore new features that would create new capabilities and enhance system performance and usability.
• Participate in working/user/advocacy groups and represent NERSC and its interests to the broader HPC community.
• Work at a higher level of independence while carrying out work assignment.
• Work on and solve significant and issues where analysis of situations or data requires an in-depth evaluation of variable factors.
What is Required to be hired at a Level 3:
• Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent experience.
• Minimum of 2 years of experience with systems programming in Linux environment or management of large-scale Linux-based systems in a high-performance computing, cloud computing, or hyper-scale environment.
• Experience with C, bourne shell, and Python3 programming languages.
Additional Requirements to be hired at a Level 4
• Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.
• Demonstrated excellent systems programming skills and strong knowledge of Linux internals.
• Demonstrated ability to work independently as well as collaboratively in large projects, and contribute to an active and respectful intellectual environment.
• Excellent oral and written communication skills.
• Ability to resolve complex issues in creative and effective ways and derive technical solutions in a collaborative environment to meet end user requirements or needs.
• Ability to network and collaborate with key contacts outside own area of expertise.
• Ability to work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
• Ability to exercise independent judgment in methods, techniques and evaluation criteria for obtaining results.
Desired Qualifications:
• Development of kubernetes microservices using technologies like helm or loftsman for deployment.
• Operations of kubernetes, etcd.
• Infrastructure as code solutions like argo, terraform, ansible, puppet, salt.
• Rust or Go programming language.
• Gitlab or Github Continuous Integration and Project Management.
• Agile process, scrum.
• Linux kernel interfaces, cgroups, ebpf.
• Installation, configuration, monitoring, and tuning of workload management systems such as Slurm, PBSPro, or GridEngine.
• Monitoring solutions such grafana, prometheus, ldms.
• HPC systems administration.
• HPC applications analysis, MPI.
• Specialized networking (Infiniband, Slingshot or other high-speed networks).
• Lustre, SpectrumScale (GPFS) or other parallel file systems.
Notes:
• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will involve access to hardware, commodities, and technical information subject to export control regulations including, but not limited to, the Export Administration Regulations ("EAR") and/or International Traffic in Arms Regulations ("ITAR"). Accordingly, any hiring decision may depend in part on Berkeley Lab’s ability to obtain or rely on federal government authorizations as required, if you are not a U.S. citizen, lawful permanent resident of the U.S. (“green card holder”), asylee, refugee, or other qualifying protected individual as defined by 8 U.S.C. 1324b(a)(3).
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• Level 3: The full salary range of this position is between $129,948.00 - $219,276.00 per year and is expected to pay between a targeted range of $146,184.00 - $178,668.00 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
• Level 4: The full salary range of this position is between $147,984.00 - $249,732.00 per year and is expected to pay between a targeted range of $166,476.00 - $203,484.00 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
• This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• This position requires substantial on-site presence, but is eligible for a flexible work mode, and hybrid schedules may be considered. Hybrid work is a combination of performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA and some telework. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. In rare cases, full-time telework or remote work modes may be considered.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=311989 and follow the on-line instructions to complete the application process.
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for a Dev Ops Engineer to join the team.
In this exciting role, you will serve as a DevOps-oriented System Administrator/Software Engineer (Computer Systems Engineer 3/4) at the National Energy Research Scientific Computing Center (NERSC) to help architect, deploy, configure, and operate large scale, leading-edge high-performance computing (HPC) systems. You will work collaboratively to develop and operate large-scale compute and storage platforms to support NERSC's mission of accelerating scientific discovery through high-performance computing and data analysis. Working with teams at NERSC, other national laboratories, HPC vendors and open-source communities you will develop innovative solutions that enable science as well as improve the state of HPC practice on an international stage. Your focus will be to improve and operate NERSC's largest HPC resources, Perlmutter and Doudna, and to work with the rest of the HPC community to develop and maintain world class system software.
The selected candidate(s) will be hired at the Computer Systems Engineer 3 or 4 (CSE3 or CSE4) depending on their level of skills and experience.
What You Will Do if hired at a Level 3:
• Participate in team-oriented agile development and management process for HPC systems using languages like Go, Rust and Python
• Develop and maintain APIs to securely expose system functionality to end users
• Automate common tasks and processes to continuously improve HPC systems management
• Analyze system issues and develop solutions to improve end-user experience
• Be part of a team that installs, tests, maintains and manages HPC systems
• Assist with technology evaluation of systems and system architecture
• Work with vendors to prioritize, develop and enhance their technologies in order to better meet the needs of our users
• Be part of team providing on-call rotation for 24x7 HPC system support
• Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.
• Determine methods and procedures on new assignments and may coordinate activities of other personnel.
• Network with key contacts outside own area of expertise.
In Additional Responsibilities if hired at a Level 4:
• Provide leadership and technical guidance to group members, and members of other groups at NERSC.
• Recommend and lead implementation and deployment efforts for system improvements that enhance reliability, stability, usability, performance and security.
• Identify and evaluate emerging HPC technologies and explore new features that would create new capabilities and enhance system performance and usability.
• Participate in working/user/advocacy groups and represent NERSC and its interests to the broader HPC community.
• Work at a higher level of independence while carrying out work assignment.
• Work on and solve significant and issues where analysis of situations or data requires an in-depth evaluation of variable factors.
What is Required to be hired at a Level 3:
• Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent experience.
• Minimum of 2 years of experience with systems programming in Linux environment or management of large-scale Linux-based systems in a high-performance computing, cloud computing, or hyper-scale environment.
• Experience with C, bourne shell, and Python3 programming languages.
Additional Requirements to be hired at a Level 4
• Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.
• Demonstrated excellent systems programming skills and strong knowledge of Linux internals.
• Demonstrated ability to work independently as well as collaboratively in large projects, and contribute to an active and respectful intellectual environment.
• Excellent oral and written communication skills.
• Ability to resolve complex issues in creative and effective ways and derive technical solutions in a collaborative environment to meet end user requirements or needs.
• Ability to network and collaborate with key contacts outside own area of expertise.
• Ability to work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
• Ability to exercise independent judgment in methods, techniques and evaluation criteria for obtaining results.
Desired Qualifications:
• Development of kubernetes microservices using technologies like helm or loftsman for deployment.
• Operations of kubernetes, etcd.
• Infrastructure as code solutions like argo, terraform, ansible, puppet, salt.
• Rust or Go programming language.
• Gitlab or Github Continuous Integration and Project Management.
• Agile process, scrum.
• Linux kernel interfaces, cgroups, ebpf.
• Installation, configuration, monitoring, and tuning of workload management systems such as Slurm, PBSPro, or GridEngine.
• Monitoring solutions such grafana, prometheus, ldms.
• HPC systems administration.
• HPC applications analysis, MPI.
• Specialized networking (Infiniband, Slingshot or other high-speed networks).
• Lustre, SpectrumScale (GPFS) or other parallel file systems.
Notes:
• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will involve access to hardware, commodities, and technical information subject to export control regulations including, but not limited to, the Export Administration Regulations ("EAR") and/or International Traffic in Arms Regulations ("ITAR"). Accordingly, any hiring decision may depend in part on Berkeley Lab’s ability to obtain or rely on federal government authorizations as required, if you are not a U.S. citizen, lawful permanent resident of the U.S. (“green card holder”), asylee, refugee, or other qualifying protected individual as defined by 8 U.S.C. 1324b(a)(3).
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• Level 3: The full salary range of this position is between $129,948.00 - $219,276.00 per year and is expected to pay between a targeted range of $146,184.00 - $178,668.00 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
• Level 4: The full salary range of this position is between $147,984.00 - $249,732.00 per year and is expected to pay between a targeted range of $166,476.00 - $203,484.00 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
• This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• This position requires substantial on-site presence, but is eligible for a flexible work mode, and hybrid schedules may be considered. Hybrid work is a combination of performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA and some telework. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. In rare cases, full-time telework or remote work modes may be considered.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=311989 and follow the on-line instructions to complete the application process.
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
·
·
2025-11-12
Event Type
Job Posting
TimeMonday, 17 November 20254:42pm - 4:43pm CST
LocationHall 6
United States of America
Lawrence Berkeley National Laboratory
In-person
Full Time
Monday, 17 November 2025 4:43pm-4:43pm Hall 6
Reliability Test, Intern
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionLightmatter is looking to hire a Reliability Test Intern for the summer of 2026. In this role you can expect to work with the reliability and test team on various projects related to testing reliability and characterization.
Responsibilities:
Performing reliability/characterization tests
Setting up the tests and writing the test automation script
Perform test data analysis and presenting it to key stakeholders
Responsibilities:
Performing reliability/characterization tests
Setting up the tests and writing the test automation script
Perform test data analysis and presenting it to key stakeholders
RequirementsRequirements:
Currently pursuing a Bachelor’s in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field
Basic knowledge of test automation tools, python is preferred
Familiarity with hardware testing equipment such as oscilloscopes, multimeters, and thermal sensors
Understanding of basic electronics, circuits, and embedded systems
Strong problem-solving and analytical skills
Ability to work in a hands-on lab environment
Willingness and curiosity to learn from an exciting team!
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:43pm - 4:43pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Photonics Design, Intern
·
Lightmatter
·
Boston, MA
Hide Details
SessionJob Postings
DescriptionAbout this Role
We are hiring an Intern for our Photonics Design team at Lightmatter! We are a photonic computer company redefining what computers and human beings are capable of by building the engines that will power discoveries and drive progress in a sustainable way. With modern human progress relying heavily on computers, the world has hit a dead end with traditional transistors, and the prospect of constantly building data centers is an environmental nightmare. Lightmatter has created a solution in photonic computing: using photons instead of electrons to take advantage of their higher bandwidth. We build chips for artificial intelligence computing. Our architecture leverages the unique properties of light to enable fast and efficient inference and training engines.
Responsibilities
Design high-performance passive and active silicon photonics devices with commercial softwares such as Lumerical, Tidy3D, Cadence
Develop automated inverse design of silicon photonic components.
Assess fabrication variability and operational performance of Si photonic components
Develop and implement testing and analysis methodology for new and existing silicon photonics devices, including design-for-test, design-for-manufacturing, and design-of-experiments.
Design and execute model creation for silicon photonics chips and subsystems based on measurement data and close the loop with design and simulations.
We are hiring an Intern for our Photonics Design team at Lightmatter! We are a photonic computer company redefining what computers and human beings are capable of by building the engines that will power discoveries and drive progress in a sustainable way. With modern human progress relying heavily on computers, the world has hit a dead end with traditional transistors, and the prospect of constantly building data centers is an environmental nightmare. Lightmatter has created a solution in photonic computing: using photons instead of electrons to take advantage of their higher bandwidth. We build chips for artificial intelligence computing. Our architecture leverages the unique properties of light to enable fast and efficient inference and training engines.
Responsibilities
Design high-performance passive and active silicon photonics devices with commercial softwares such as Lumerical, Tidy3D, Cadence
Develop automated inverse design of silicon photonic components.
Assess fabrication variability and operational performance of Si photonic components
Develop and implement testing and analysis methodology for new and existing silicon photonics devices, including design-for-test, design-for-manufacturing, and design-of-experiments.
Design and execute model creation for silicon photonics chips and subsystems based on measurement data and close the loop with design and simulations.
RequirementsQualifications
Currently enrolled in a PhD program, specializing in Electrical Engineering, Physics, Photonics, or related fields.
Good understanding of Silicon Photonics or General Photonics
Experience in electro-optic design of silicon photonics components
Demonstrate problem-solving skills in problems that do not have obvious solutions
Exposure to developing and implementing automated design and analysis using Python scripting
Data-driven and analytical; translates numbers into actionable strategies
Process-oriented and programmatic: builds structure through processes
Excellent written and verbal communication skills
Preferred Qualifications
Experience in design of high speed transceiver systems
Work with foundries
Exposure to designing PDK Components
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:43pm - 4:43pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:43pm-4:44pm Hall 6
Photonics Characterization, Temp
·
Lightmatter
·
Boston, MA
Hide Details
SessionJob Postings
DescriptionLightmatter is looking for a PhD candidate who can work in Photonics Characterization (Electrical Engineering, Physics, or related field) with a strong understanding of Silicon Photonics and demonstrated experience in electro-optic testing of components like micro-rings and Mach-Zehnder interferometers. The ideal candidate will leverage hands-on laboratory experience with various optical and semiconductor test equipment, and be skilled in developing and implementing automated testing using Python scripting. This highly analytical, process-oriented individual must be capable of working independently to solve complex technical problems and translate data into actionable strategies.
Responsibilities
Participate in electro-optic testing of photonics chips/devices, leveraging hands-on laboratory experience and working with various optical instruments.
Conduct tests and characterization of silicon photonics components, including micro-rings, optical phase shifters, and Mach-Zehnder interferometers.
Operate a range of optical equipment such as lasers, electro-optic modulators, semiconductor optical amplifiers, PIN receivers, optical spectrum analyzers, optical vector analyzers, and optical filters.
Utilize semiconductor test equipment, including vector network analyzers, spectrum analyzers, source-meter units, arbitrary waveform generators, and high-speed oscilloscopes.
Design and execute testing protocols for silicon photonics chips and subsystems.
Develop and implement automated testing and system interfacing through Python scripting.
Responsibilities
Participate in electro-optic testing of photonics chips/devices, leveraging hands-on laboratory experience and working with various optical instruments.
Conduct tests and characterization of silicon photonics components, including micro-rings, optical phase shifters, and Mach-Zehnder interferometers.
Operate a range of optical equipment such as lasers, electro-optic modulators, semiconductor optical amplifiers, PIN receivers, optical spectrum analyzers, optical vector analyzers, and optical filters.
Utilize semiconductor test equipment, including vector network analyzers, spectrum analyzers, source-meter units, arbitrary waveform generators, and high-speed oscilloscopes.
Design and execute testing protocols for silicon photonics chips and subsystems.
Develop and implement automated testing and system interfacing through Python scripting.
RequirementsQualifications
PhD candidate (EE, Physics, or related) with a strong understanding of Silicon Photonics and demonstrated experience in electro-optic component testing.
Experienced in developing and implementing automated testing systems using Python scripting, with a proven ability to translate data into actionable strategies.
Highly analytical, process-oriented, and capable of working independently to solve complex, non-obvious technical problems in a lab environment.
Excellent written and verbal communication skills.
Preferred Qualifications
Microcontroller programming
Experience with high speed instruments
High speed communications and understanding of VNA and optical link
Understanding of high speed PCBs and/or micro electronics
Experience working in a graduate level photonics or electrical engineering lab.
Willingness and curiosity to learn from an exciting team!
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:43pm - 4:44pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:44pm-4:44pm Hall 6
Photonics Test Engineering, Intern
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionLightmatter is looking for a Photonics Test Engineering Intern to join their team to help with automated photonic test systems. The ideal candidate should have a basic understanding of photonic devices or optoelectronics, be proficient in Python, and be enthusiastic about applying their skills to data analysis and test method development.
Responsibilities:
Work on wafer probers to help test data collections from photonic devices
Develop software to automate photonic test system and develop test methods for photonic device testing
Data analysis and develop data analysis algorithms
Work with partner teams to assist with jobs related to reliability test and PIC design validation test
Responsibilities:
Work on wafer probers to help test data collections from photonic devices
Develop software to automate photonic test system and develop test methods for photonic device testing
Data analysis and develop data analysis algorithms
Work with partner teams to assist with jobs related to reliability test and PIC design validation test
RequirementsRequirements:
Currently enrolled in graduate or undergraduate program
Basic understanding of photonic devices or optoelectronics
Interest in photonic test for product engineering
Fluent in programming languages such as Python
Willingness and curiosity to learn from an exciting team!
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:44pm - 4:44pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Similar Presentations
Package Layout Automation, Intern
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionIn this role you will be responsible to use scripting languages like SKILL within Cadence Design software to automate repetitive tasks in the design process, such as layout generation, component placement, routing functions, electrical and manufacturing design rule verification checks, drawing generation, and other routine operations.
Key responsibilities:
Developing and maintaining SKILL scripts
Integrating Cadence with other tools to automate simulation setup and result analysis
Document the function and process to use the scripts.
Interacting with Package team members such package design and layout engineers
Key responsibilities:
Developing and maintaining SKILL scripts
Integrating Cadence with other tools to automate simulation setup and result analysis
Document the function and process to use the scripts.
Interacting with Package team members such package design and layout engineers
RequirementsQualifications:
Currently pursuing a bachelor’s degree in Computer Science, Information Technology, or related field.
Minimum of 6 months of experience using scripting SKILL language
Knowledge of EDA design principles
Strong problem-solving and analytical thinking skills
Ability to collaborate within a team environment
Attention to detail and a focus on creating efficient, maintainable solutions
Preferred:
Knowledge of PCB or Package Layout designs automations
Proficient in version control systems
Familiarity with programming skills such as Python, VBA, or TCL.
Experience with layout design softwares such as Cadence, Valor, or CAM 350.
Have one of the following certifications: SKILL programming certification by Cadence and/or Certified Associate in Python Programming (PCAP)
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:44pm - 4:44pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Machine Learning Research Intern
·
Lightmatter
·
Mountain View, CA
Hide Details
SessionJob Postings
DescriptionAbout the Role
Lightmatter is seeking a PhD Intern to join our Machine Learning team. This internship offers a unique opportunity to contribute to the invention of novel hardware systems utilizing Lightmatter's cutting-edge technology and to model their performance on both training and inference workloads.
This is a highly creative and impactful role where you'll be encouraged to think outside the box, pushing the boundaries of ML systems research by leveraging the power of silicon photonics. You'll work closely with our product, solutions architecture, and engineering teams, contributing to:
Performance analysis of Lightmatter-enabled systems.
The design of high-performance, rack-scale platforms.
The generation of cutting-edge ML systems research.
Responsibilities
Research and stay current on the latest advancements in Machine Learning systems and models, particularly Large Language Models (LLMs).
Develop and utilize tools to model the performance of Lightmatter-enabled systems running various training and inference workloads.
Collaborate on the design of compelling reference platforms systems powered by Lightmatter technology.
Work towards publishing academic papers at top industry conferences or journals, and assist in creating whitepapers, blog posts, and other technical collateral.
Lightmatter is seeking a PhD Intern to join our Machine Learning team. This internship offers a unique opportunity to contribute to the invention of novel hardware systems utilizing Lightmatter's cutting-edge technology and to model their performance on both training and inference workloads.
This is a highly creative and impactful role where you'll be encouraged to think outside the box, pushing the boundaries of ML systems research by leveraging the power of silicon photonics. You'll work closely with our product, solutions architecture, and engineering teams, contributing to:
Performance analysis of Lightmatter-enabled systems.
The design of high-performance, rack-scale platforms.
The generation of cutting-edge ML systems research.
Responsibilities
Research and stay current on the latest advancements in Machine Learning systems and models, particularly Large Language Models (LLMs).
Develop and utilize tools to model the performance of Lightmatter-enabled systems running various training and inference workloads.
Collaborate on the design of compelling reference platforms systems powered by Lightmatter technology.
Work towards publishing academic papers at top industry conferences or journals, and assist in creating whitepapers, blog posts, and other technical collateral.
RequirementsMinimum Qualifications
Currently pursuing a PhD in Computer Science, Electrical Engineering, or a closely related field.
Solid academic or research background in Machine Learning systems research, including experience with performance evaluation and modeling.
Hands-on experience with machine learning/deep learning methods and knowledge of Large Language Model training and inference frameworks.
Familiarity with modern AI systems infrastructure, including compute (e.g., GPUs, TPUs) and networking technologies (e.g., Ethernet, Infiniband) and their various topologies and trade-offs.
Demonstrated ability to independently own a research project and drive it from concept to completion within the internship period.
Preferred Attributes
Prior academic publications in relevant venues are a strong plus.
A demonstrated ability for creative problem-solving and applying first-principles thinking to generate novel ideas in an ambiguous environment.
Excellent skills in communicating complex research and technical concepts clearly and effectively.
A strong desire to collaborate across research and engineering functions to bridge gaps and accelerate outcomes.
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:44pm - 4:44pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:44pm-4:45pm Hall 6
Physical Design, Intern
·
Lightmatter
·
Boston, MA
Hide Details
SessionJob Postings
DescriptionAbout this Role
We are hiring an Intern for our Physical Design team at Lightmatter! We are a photonic computer company redefining what computers and human beings are capable of by building the engines that will power discoveries and drive progress in a sustainable way. With modern human progress relying heavily on computers, the world has hit a dead end with traditional transistors, and the prospect of constantly building data centers is an environmental nightmare. Lightmatter has created a solution in photonic computing: using photons instead of electrons to take advantage of their higher bandwidth. We build chips for artificial intelligence computing. Our architecture leverages the unique properties of light to enable fast and efficient inference and training engines.
Responsibilities
Deliver block level physical designs for active project
Produce physical design flow enhancements
Explore new physical design capabilities
Run experiments on block level designs and gather performance data
Learn the Physical Design Flow at Lightmatter
Participate in Physical Design activities directly related to our next generation products
In conjunction with the Physical Design team - choose an aspect of the PD flow to improve or explore. This could be a new flow capability or feature, or a new method of processing or visualizing existing data
We are hiring an Intern for our Physical Design team at Lightmatter! We are a photonic computer company redefining what computers and human beings are capable of by building the engines that will power discoveries and drive progress in a sustainable way. With modern human progress relying heavily on computers, the world has hit a dead end with traditional transistors, and the prospect of constantly building data centers is an environmental nightmare. Lightmatter has created a solution in photonic computing: using photons instead of electrons to take advantage of their higher bandwidth. We build chips for artificial intelligence computing. Our architecture leverages the unique properties of light to enable fast and efficient inference and training engines.
Responsibilities
Deliver block level physical designs for active project
Produce physical design flow enhancements
Explore new physical design capabilities
Run experiments on block level designs and gather performance data
Learn the Physical Design Flow at Lightmatter
Participate in Physical Design activities directly related to our next generation products
In conjunction with the Physical Design team - choose an aspect of the PD flow to improve or explore. This could be a new flow capability or feature, or a new method of processing or visualizing existing data
RequirementsQualifications
Currently enrolled in a graduate engineering program, preferably in an ECE, EE or Computer Engineering degree
Interest in Physical Design
Experience with Python or TCL
Understanding of Verilog RTL
Exposure to VSLI Design and/or Architecture
Understanding of Semiconductor Device Theory
Willingness to learn from an exciting team!
Preferred Qualifications
Experience with Cadence Innovus, Genus, Tempus, Voltus, Virtuoso
Company DescriptionLightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
·
·
2025-11-10
Event Type
Job Posting
TimeMonday, 17 November 20254:44pm - 4:45pm CST
LocationHall 6
United States of America
Lightmatter
In-person
Full Time
Monday, 17 November 2025 4:45pm-4:45pm Hall 6
Systems Engineer - R&D
·
Hudson River Trading
·
New York, Chicago, London, Austin (Hybrid)
Hide Details
SessionJob Postings
DescriptionHudson River Trading (HRT) is looking for Systems Engineers to join our growing Research & Development team. This team builds and maintains exceptionally large and growing distributed compute clusters, multi petabyte-scale storage layers, operating systems, automation software, and development tools. We have incredibly large GPU and CPU compute clusters, larger than most national labs. We are building or have built our own on-prem data centers globally and have teams focused on industry leading compute, network, storage and power optimization. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.
As a full-time Systems Engineer, you’ll work on projects that impact our live trading and research and allow them to run worldwide 24/7. A typical day could include scaling and keeping our HPC environment running smoothly or designing and building services to improve HRT’s research environment, but responsibilities are broad! Your day could also consist of hardware and software installation and configuration, remote administration, monitoring, new hardware and software testing, automation and tool development, and performance tuning.
Responsibilities
- Plan/execute technical projects to make our Linux trading systems (hardware, network, OS, etc)
- faster, adaptable, and more maintainable
- Manage and optimize large scale distributed compute/HPC clusters
- Automate/troubleshoot a broad range of technical infrastructure
- Troubleshoot hardware and software issues
- Operating system installation and upgrading
- Performance testing and tuning
- Scripting to automate repetitive tasks
- Working with vendors to resolve issues
As a full-time Systems Engineer, you’ll work on projects that impact our live trading and research and allow them to run worldwide 24/7. A typical day could include scaling and keeping our HPC environment running smoothly or designing and building services to improve HRT’s research environment, but responsibilities are broad! Your day could also consist of hardware and software installation and configuration, remote administration, monitoring, new hardware and software testing, automation and tool development, and performance tuning.
Responsibilities
- Plan/execute technical projects to make our Linux trading systems (hardware, network, OS, etc)
- faster, adaptable, and more maintainable
- Manage and optimize large scale distributed compute/HPC clusters
- Automate/troubleshoot a broad range of technical infrastructure
- Troubleshoot hardware and software issues
- Operating system installation and upgrading
- Performance testing and tuning
- Scripting to automate repetitive tasks
- Working with vendors to resolve issues
Requirements* 5+ years of relevant experience *
Expertise in installation, configuration, and troubleshooting of Linux systems *
Comfortable using Linux/UNIX command line tools *
Experience with configuration management tools *
Python and Shell scripting experience *
Attention to detail needed to manage and debug production services *
Strong communication and organization *
You enjoy tinkering with technology in your spare time *
Exceptional communication skills - this role will require cross-collaboration with various * stakeholders across HRT *
You are resourceful, have a sense of urgency, and are motivated to make things better and to always be learning *
Ability to context switch to work on several projects at once *
Experience and knowledge of Debian/Ubuntu is a plus *
GPU Optimization experience is a plus *
Company DescriptionHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
·
·
2025-11-11
Event Type
Job Posting
TimeMonday, 17 November 20254:45pm - 4:45pm CST
LocationHall 6
United States of America
Hudson River Trading
In-person
Remote
Full Time
HPC Network Engineer
·
Hudson River Trading
·
New York, Chicago, London
Hide Details
SessionJob Postings
DescriptionHudson River Trading’s High Performance Computing (HPC) Network Engineering team designs and engineers the low-latency communications infrastructure that underpins our incredibly large GPU and CPU compute clusters. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects globally distributed, large-scale on-prem data centers, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads.
We are looking for a Network Engineer with deep experience in designing, deploying, and scaling networks for large-scale HPC environments. You will be building the next generation of infrastructure required by a premier algorithmic trading firm operating at the forefront of technology and finance.
This position requires deep technical skills, along with the product leadership and vision needed for the future of cloud-scale networking. You’ll have broad responsibilities and freedom to analyze and solve problems, and your solutions will have an immediate impact on our operations worldwide. We’re looking for someone who loves technology and is excited about tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the network and contribute to both the management and the technical nitty-gritty of our computing architecture. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.
Responsibilities
- Network design, product selection, routing, configuration and troubleshooting
- Closely work with our HPC Systems team, as well as other teams to scale our research environment
- Meet with external parties for project related items as well as future endeavors
- Overall capacity planning for the data center networks
- Develop scripts and processes to increase efficiency
- Collaborate with others in the network team to solve cross discipline problems
- Provide detailed documentation
- Mentor others as a senior resource
We are looking for a Network Engineer with deep experience in designing, deploying, and scaling networks for large-scale HPC environments. You will be building the next generation of infrastructure required by a premier algorithmic trading firm operating at the forefront of technology and finance.
This position requires deep technical skills, along with the product leadership and vision needed for the future of cloud-scale networking. You’ll have broad responsibilities and freedom to analyze and solve problems, and your solutions will have an immediate impact on our operations worldwide. We’re looking for someone who loves technology and is excited about tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the network and contribute to both the management and the technical nitty-gritty of our computing architecture. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.
Responsibilities
- Network design, product selection, routing, configuration and troubleshooting
- Closely work with our HPC Systems team, as well as other teams to scale our research environment
- Meet with external parties for project related items as well as future endeavors
- Overall capacity planning for the data center networks
- Develop scripts and processes to increase efficiency
- Collaborate with others in the network team to solve cross discipline problems
- Provide detailed documentation
- Mentor others as a senior resource
Requirements- 10+ years of relevant experience
- Proven ability to prioritize workloads and manage implementation schedules with a meticulous attention to detail
- Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field.
- Strong collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes
- Excellent oral and written communication skills: able to distill complicated issues into clear and concise terms
- Able to create and maintain clear and effective technical documentation
- In depth understanding of common layer 2 and layer 3 network protocols (OSPF, BGP, PIM,
- IGMP, RoCEv2, spine-leaf architecture, and VXLAN) and best practices for them
- Proven ability to select and work with vendors to engineer switches for next-generation computing environments
- Experience managing Arista (EOS), Cisco (NX-OS), Nvidia (Cumulus) and SONiC-based switches, as well as an interest in exploring new platforms
- Strong design skills in computing and grid networks, with expertise in capacity planning, and full lifecycle project management
- Experience with packet decoding and analysis tools such as tcpdump and Wireshark
- Experience with public cloud networks, such as AWS, GCP, Azure
- Familiarity with configuration management tools, such as Ansible or Salt is desirable to support zero-touch network management
- Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
- Understanding of basic power consumption and cooling issues in a data center environment
- Knowledge of fiber optics technology and cabling standards ranging from 1 to 800 Gbps. Ability to sort through specs and make recommendations on appropriate purchases.
- Skilled in Unix/Linux command line utilities and networking stack
- Experience with AI style network designs and workloads is preferred
Company DescriptionHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
·
·
2025-11-12
Event Type
Job Posting
TimeMonday, 17 November 20254:45pm - 4:45pm CST
LocationHall 6
United States of America
Hudson River Trading
In-person
Remote
Full Time
Monday, 17 November 2025 4:45pm-4:46pm Hall 6
Experienced Hardware Design Engineer
·
Hudson River Trading
·
New York, Austin, Chicago, Boulder (Hybrid)
Hide Details
SessionJob Postings
DescriptionThe Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.
FPGAs and ASICs are critical pieces of our technology stack. We are looking for talented hardware developers to architect and design complex systems on a highly collaborative global team. In this role, you'll identify efficient ways to perform on-the-fly transformations of market data and implement models with complex data structures in RTL. Deep knowledge of SystemVerilog, FPGA internals and/or ASIC primitives, computer architecture, and vendor tool suites are essential to succeeding in this role. Expertise in networking protocols, CPU design, and/or machine learning accelerators is a big plus. No financial experience is necessary.
Responsibilities
- Collaborate with a cross-functional team to develop and deploy custom FPGA and/or ASIC solutions for a wide range of trading applications
- Investigate new technologies and tools
- Contribute to a nimble hardware development tech stack
FPGAs and ASICs are critical pieces of our technology stack. We are looking for talented hardware developers to architect and design complex systems on a highly collaborative global team. In this role, you'll identify efficient ways to perform on-the-fly transformations of market data and implement models with complex data structures in RTL. Deep knowledge of SystemVerilog, FPGA internals and/or ASIC primitives, computer architecture, and vendor tool suites are essential to succeeding in this role. Expertise in networking protocols, CPU design, and/or machine learning accelerators is a big plus. No financial experience is necessary.
Responsibilities
- Collaborate with a cross-functional team to develop and deploy custom FPGA and/or ASIC solutions for a wide range of trading applications
- Investigate new technologies and tools
- Contribute to a nimble hardware development tech stack
Requirements* Ability to describe hardware designs at a high level, low level, or anywhere in between *
Brilliant design, optimization, debugging and problem solving skills *
Professional experience (2+ years) in RTL design for FPGA or ASIC *
Expert SystemVerilog development skills with a thorough understanding of the language *
Expert on low level FPGA or ASIC architectures, with a deep understanding of what makes them "tick" *
Skilled in network communications, processing pipelines, and/or machine learning *
Working knowledge of Python and/or C++ *
Comfortable in a Linux environment *
Strong verification experience *
Familiarity with AMD Vivado is a plus *
A bachelor’s degree in computer science, electrical engineering, or a related field *
Company DescriptionHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
·
·
2025-11-13
Event Type
Job Posting
TimeMonday, 17 November 20254:45pm - 4:46pm CST
LocationHall 6
United States of America
Hudson River Trading
In-person
Full Time
Monday, 17 November 2025 4:46pm-4:46pm Hall 6
Design Verification (DV) Engineer
·
Hudson River Trading
·
New York, London, Austin, Chicago (Hybrid)
Hide Details
SessionJob Postings
DescriptionThe Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.
These high performance designs require even higher performance verification. We are looking for experienced Design Verification (DV) engineers who are skilled at writing testbenches and building verification environments to exercise complex HDL. Our ideal candidate is not only an ace tester, but a practicing toolsmith. You know the EDA landscape and want to be part of a team actively working to rethink, redesign, and surpass the status quo. For example, members of our team are active maintainers of popular open source projects such as Slang, Verilator, and Cocotb.
FPGA and ASIC verification is part of an innovative, growing team at HRT which is integral to the success of our trading. You can expect to always be challenged by the ever-changing financial markets as you work to ensure correctness and robustness of our critical hardware in an extremely fast-paced, real-time environment. No financial experience is necessary.
Responsibilities
- Creating testbenches and tests for our hardware platform, leveraging a hybrid open-
source/proprietary, highly flexible environment
- Writing detailed verification plans
- Quickly root-cause RTL bugs
- Collaborating directly with designers for rapid bringup of new projects and debugging of existing designs
-Managing test suites and continuous integration infrastructure
- Developing and improving open-source and internal tools
These high performance designs require even higher performance verification. We are looking for experienced Design Verification (DV) engineers who are skilled at writing testbenches and building verification environments to exercise complex HDL. Our ideal candidate is not only an ace tester, but a practicing toolsmith. You know the EDA landscape and want to be part of a team actively working to rethink, redesign, and surpass the status quo. For example, members of our team are active maintainers of popular open source projects such as Slang, Verilator, and Cocotb.
FPGA and ASIC verification is part of an innovative, growing team at HRT which is integral to the success of our trading. You can expect to always be challenged by the ever-changing financial markets as you work to ensure correctness and robustness of our critical hardware in an extremely fast-paced, real-time environment. No financial experience is necessary.
Responsibilities
- Creating testbenches and tests for our hardware platform, leveraging a hybrid open-
source/proprietary, highly flexible environment
- Writing detailed verification plans
- Quickly root-cause RTL bugs
- Collaborating directly with designers for rapid bringup of new projects and debugging of existing designs
-Managing test suites and continuous integration infrastructure
- Developing and improving open-source and internal tools
Requirements* Superb debug and analytical skills *
Professional experience (2+ years) in RTL functional verification for FPGA or ASIC *
Experience with code and functional coverage collection/analysis *
Experience with SystemVerilog and industry-standard frameworks such as UVM *
Experience with Python *
Comfortable in a Linux environment *
Familiarity with Verilator and/or Cocotb preferred *
C++ experience is a plus *
A bachelor’s degree in computer science, electrical engineering, or a related field *
Company DescriptionHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
·
·
2025-11-13
Event Type
Job Posting
TimeMonday, 17 November 20254:46pm - 4:46pm CST
LocationHall 6
United States of America
Hudson River Trading
In-person
Full Time
Lead Software Engineer - High Performance Computing
·
JPMorgan Chase
·
Atlanta, GA
Hide Details
SessionJob Postings
DescriptionAs a Lead Software Engineer at JPMorganChase within the AI Acceleration team you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Requirements- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Practical cloud native experience
- Advanced understanding of High-Performance Computing system architectures and network topologies
- Expertise in at least one accelerator type (e.g., GPU, FPGA) and experience mapping LLMs onto these accelerators
- Proficiency parallel programming and performance analysis of accelerator-based systems
Preferred qualifications, capabilities, and skills:
- Strong programming skills in Python, scripting, C, C++ with experience in AI/ML frameworks like PyTorch and LangChain
- Master’s Degree in Computer Science
- 3+ years of experience in high-performance computing software
- 3+ years of experience with accelerators and deep learning, particularly large language models
- Experience in large organizations and regulated industries is a plus
- Excellent communication skills and the ability to work collaboratively in a dynamic team environment
- Familiarity with HPC software (e.g., NCCL, MPI) and resource schedulers (e.g., Kubernetes, SLURM)
Company DescriptionPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
·
·
2025-09-01
Event Type
Job Posting
TimeMonday, 17 November 20254:46pm - 4:46pm CST
LocationHall 6
United States of America
JPMorgan Chase
In-person
Full Time
Principal Software Engineer - High Performance Computing
·
JPMorganChase
·
Jersey City, NY
Hide Details
SessionJob Postings
DescriptionAs a Principal Software Engineer at JPMorganChase within the Core Foundational Platforms team, you, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios. You will lead virtual and direct teams of developers, teaching them best practices in high-performance computing (HPC) practices that intersect with AI/ML. Thus, you are collaborative—especially since you will work closely with cross-functional teams comprised of data scientists, business analysts and other engineers. You will infuse the JPMorgan developer community with an appreciation of the impact that HPC can have by delivering software that consistently outperforms other platforms. You will deliver a variety of options to serve our various business needs--sometimes driven by low-latency; other times driven by throughput or low power.
Job responsibilities
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Advises cross-functional teams on technological matters within your domain of expertise
- Serves as the function’s go-to subject matter expert
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
- Creates durable, reusable software frameworks that are leveraged across teams and functions
- Influences leaders and senior stakeholders across business, product, and technology teams
- Champions the firm’s culture of diversity, opportunity, inclusion, and respect
- Using telemetry, create measurable frameworks for deciding amongst hardware and software options
- Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
- Support developer community in learning lessons from high-performance computing (HPC) domain
Job responsibilities
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Advises cross-functional teams on technological matters within your domain of expertise
- Serves as the function’s go-to subject matter expert
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
- Creates durable, reusable software frameworks that are leveraged across teams and functions
- Influences leaders and senior stakeholders across business, product, and technology teams
- Champions the firm’s culture of diversity, opportunity, inclusion, and respect
- Using telemetry, create measurable frameworks for deciding amongst hardware and software options
- Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
- Support developer community in learning lessons from high-performance computing (HPC) domain
RequirementsRequired qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 7+ years applied experience
-Hands-on practical experience delivering system design, application development, testing, and operational stability
- Expert in one or more programming language(s)
- Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
- Experience leading a product as a Product Owner or Product Manager
- Ability to present and effectively communicate with Senior Leaders and Executives
- Understanding of the business
- Practical cloud native experience
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
- Familiarity with HPC software (e.g., NCCL, MPI) and resource schedulers (e.g., Kubernetes, SLURM)
Preferred qualifications, capabilities, and skills
- Strong programming skills in Python, scripting, C, C++ with experience in AI/ML frameworks like PyTorch and LangChain
- Master’s Degree in Computer Science (required)
- 8+ years of experience in high-performance computing software
- 5+ years of experience with accelerators and deep learning, particularly large language models
- Experience in large organizations and regulated industries is a plus
- Excellent communication skills and the ability to work collaboratively in a dynamic team environment
- Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
Company DescriptionJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
·
·
2025-09-01
Event Type
Job Posting
TimeMonday, 17 November 20254:46pm - 4:46pm CST
LocationHall 6
United States of America
JPMorganChase
In-person
Full Time
Monday, 17 November 2025 4:46pm-4:47pm Hall 6
Graduate Electrical Engineer
·
Arm
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionJoin our world-class Server Design team developing next-generation AI infrastructure for hyperscale data centers. As a new college graduate in Electrical or Computer Engineering, you will contribute to the design and development of cutting-edge AI servers and rack-level power distribution systems. You’ll work alongside experienced engineers across electrical, mechanical, thermal, and validation disciplines to deliver industry leading high-performance, power-efficient designs that scale to meet the demands of modern AI workloads!
What you could be doing as a Graduate Electrical Engineer
• Help design, review, and bring up complex server and rack-level boards, including high-speed signaling and power delivery.
• Support component selection, SI/PI analysis, and system-level integration to ensure quality and reliability.
• Collaborate with mechanical, thermal, and manufacturing teams to achieve optimized, scalable, and testable designs.
• Perform lab validation and debug using oscilloscopes, logic analyzers, and other electrical test tools.
• Document and share design updates, validation results, and process improvements.
What you could be doing as a Graduate Electrical Engineer
• Help design, review, and bring up complex server and rack-level boards, including high-speed signaling and power delivery.
• Support component selection, SI/PI analysis, and system-level integration to ensure quality and reliability.
• Collaborate with mechanical, thermal, and manufacturing teams to achieve optimized, scalable, and testable designs.
• Perform lab validation and debug using oscilloscopes, logic analyzers, and other electrical test tools.
• Document and share design updates, validation results, and process improvements.
RequirementsWe are looking for individuals who:
Hold (or are on track to hold) a Bachelor's or Masters degree in Computer Engineering, Electrical Engineering or other related degree. Candidates with alternative degrees will also be considered if they have relevant experience.
Qualities that will help your application stand out:
• Knowledge of analog/digital circuit design and power distribution fundamentals.
• Experience with schematic capture and PCB tools (Cadence, Altium, or Mentor).
• Familiarity with high-speed interfaces such as PCIe, DDR, or Ethernet.
• Skilled in lab testing, communication, and teamwork.
Company DescriptionArm technology is becoming the platform of choice for compute and AI. The Arm System Engineering team’s mission is to architect, design, and develop server and rack-level infrastructure for at-scale datacenter deployments. The team capabilities span across system hardware, software, system interconnect, system management storage, data center infrastructure and performance engineering. The team responsibilities include customer engagements, technology selection, system design, network architecture, performance, and datacenter deployment & operations. The Arm System Engineering team is developing industry-leading technology to deliver innovative and high-performing solutions to power the data centers of the future!
·
·
2025-11-14
Event Type
Job Posting
TimeMonday, 17 November 20254:46pm - 4:47pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Monday, 17 November 2025 4:47pm-4:47pm Hall 6
Summer Internships in Parallel Computational Science (SIParCS) - Undergraduate and Graduate
·
NSF National Center for Atmospheric Research (NCAR)
·
Boulder, Colorado
Hide Details
SessionJob Postings
DescriptionThe Summer Internships in Parallel Computational Science (SIParCS) program at the National Center for Atmospheric Research (NCAR) offers graduate students and undergraduates who have completed their sophomore year significant hands-on R&D opportunities in high performance computing (HPC) and related fields that use HPC for scientific discovery and modeling. This program embeds students as summer interns in the Computational and Information Systems Laboratory (CISL), an organization within NCAR charged with provisioning supercomputing and data systems to the geosciences research community, as well as conducting research and development in computational science, data analysis, scientific visualization and numerical modeling. These twin roles of service and research in CISL support NCAR's broad scientific mission of discovery in the atmospheric and related sciences.
The 2026 summer internships are 11 weeks in duration. Applicants must be available to work 40 hours per week from May 18, 2026 through July 31, 2026 for participation in the program. NCAR has 3 unpaid holidays for interns during the summer internship (Memorial Day, Juneteenth, Independence Day).
Program requirements, beyond working on projects, include attending appropriate technical seminars, attending skills-enhancing workshops, preparing a poster, and giving an oral presentation of results at the end of the summer.
For Summer 2026, we are planning for an in-person internship program where interns come on-site to our Boulder, Colorado campuses and meetings may be held virtually over Zoom or Google Meet.
The 2026 summer internships are 11 weeks in duration. Applicants must be available to work 40 hours per week from May 18, 2026 through July 31, 2026 for participation in the program. NCAR has 3 unpaid holidays for interns during the summer internship (Memorial Day, Juneteenth, Independence Day).
Program requirements, beyond working on projects, include attending appropriate technical seminars, attending skills-enhancing workshops, preparing a poster, and giving an oral presentation of results at the end of the summer.
For Summer 2026, we are planning for an in-person internship program where interns come on-site to our Boulder, Colorado campuses and meetings may be held virtually over Zoom or Google Meet.
RequirementsEducation and Experience:
-Must currently be enrolled in a United States university.
-Must be authorized to work in the U.S. to be eligible for the SIParCS program.
-For F visa students accepted to the SIParCS program, CPT work authorization issued through a U.S. Designated School Official (DSO) or OPT issued through both a DSO and the U.S. Citizen and Immigration Services (USCIS) will be required.
-Must be an undergraduate who has completed their freshman year.
Knowledge, Skills, and Abilities:
-Ability to work with a broad group of peers.
-Skill in the use of software for communication purposes (e.g. Word, Excel, PowerPoint, email).
-Ability and willingness to learn and use scientific computing tools and programs.
-Good oral and written communication skills.
-Basic problem solving skills.
-Ability to analyze data and draw conclusions.
-Basic knowledge, through coursework, of mathematics, computer science or engineering.
-Ability to work full-time (40 hours per week) during the summer program.
-Ability to interact with mentors and peers in a manner that supports collaboration and inquiry.
-Ability and willingness to work within guidelines and policies of organization and assigned work groups
Please review specific projects and their requirements at https://www.cisl.ucar.edu/outreach/internships/2026projects
Company DescriptionAt NCAR - the National Center for Atmospheric Research - we study weather, water, climate, air quality, and space weather to help protect lives and livelihoods, grow the economy, and enhance our nation’s security and well-being. We collaborate with research partners to advance the science that makes predictions better and with end users to develop applications for forecasters, farmers, resource managers, retailers, the military, and many other stakeholders.
UCAR - the University Corporation for Atmospheric Research - manages NCAR on behalf of the National Science Foundation. We are a nonprofit consortium of more than 115 colleges and universities with research and training programs in Earth system science. We bring together the academic community and provide the operational management that are both essential to NCAR's success. UCAR’s community programs, from educational resources to data delivery and other services, extend the reach and impact of NCAR’s world-class research to the community and society.
We seek talented people with diverse backgrounds, training, and skills to join us in our mission of science in service to society. Want to learn more? Visit ucar.edu.
The NSF NCAR Vision:
A world-class research center leading, promoting and facilitating innovation in the atmospheric and related Earth and Sun systems sciences
The NSF NCAR Mission:
To understand the behavior of the atmosphere and related Earth and geospace systems To support, enhance, and extend the capabilities of the university community and the broader scientific community, nationally and internationally To foster the transfer of knowledge and technology for the betterment of life on Earth
Learn more about NSF NCAR: Science for a Resilient, Sustainable Society: https://youtu.be/swGsM1L0Jhk
·
·
2025-11-03
Event Type
Job Posting
TimeMonday, 17 November 20254:47pm - 4:47pm CST
LocationHall 6
United States of America
NSF National Center for Atmospheric Research (NCAR)
In-person
Full Time
CISL Outreach, Development, and Education (CODE) Summer Intern
·
NSF National Center for Atmospheric Research (NCAR)
·
Boulder, Colorado
Hide Details
SessionJob Postings
DescriptionUCAR is excited to announce a job opening for the CISL Outreach, [Workforce] Development, and Education (CODE) Intern. As the CODE Intern you will provide administrative support to the SIParCS Program office and affiliated programs. You will also assist with planning and preparation for education and outreach programs to occur during the 2026-2027 school year. This is a full time student intern position that runs from mid-May through early August. End date may be flexible. NSF
NCAR’s Computational and Information Systems Laboratory (CISL) is a leader in supercomputing and data services necessary for the advancement of atmospheric and geospace science. CISL’s mission is to remain a leader at the forefront of ensuring that research universities, NSF NCAR, and the larger atmospheric, oceanographic, and related research communities have access to the computational resources they need for their research. To fulfill the need for a stronger workforce at the intersection of High Performance Computing (HPC) and geoscience problems, CISL engages in education and outreach activities to inspire and attract a skilled future workforce.
The project qualifications describe the ideal skill set we look for in candidates. We encourage you to apply even if you do not possess all of the listed qualifications.
NCAR’s Computational and Information Systems Laboratory (CISL) is a leader in supercomputing and data services necessary for the advancement of atmospheric and geospace science. CISL’s mission is to remain a leader at the forefront of ensuring that research universities, NSF NCAR, and the larger atmospheric, oceanographic, and related research communities have access to the computational resources they need for their research. To fulfill the need for a stronger workforce at the intersection of High Performance Computing (HPC) and geoscience problems, CISL engages in education and outreach activities to inspire and attract a skilled future workforce.
The project qualifications describe the ideal skill set we look for in candidates. We encourage you to apply even if you do not possess all of the listed qualifications.
RequirementsStudent Intern Support:
-Be an active participant on the SIParCS team to provide support and mentoring for students.
-Live-in at the apartments with the interns, and plan and participate in after-hours team building activities. Apartments are suite-style/gender inclusive.
-Keep program leadership apprised of any issues that arise.
-May assist students/participants with special needs.
-May travel to assist with intern recruitment during fall months.
-Attend the Rocky Mountain Advanced Computing Consortium (RMACC) with the SIParCS program
Summer program logistics:
-Assist with summer program support including planning and running events. Events include orientation, professional development workshops, field trips, and other learning opportunities for interns.
-Assist with apartment move-in and move-out logistics, distributing and collecting student supplies, and coordinating with apartment administration.
-Help write and edit SIParCS Annual Report.
-Update program alumni tracking documents for program assessment and evaluation process
General administrative support:
-Maintain program databases and update web pages.
-Edit and compile information for documents, posters, brochures and newsletters.
-Provide multimedia support at program events (photos, video) and keep inventory of program pictures.
-Provide meeting support and prepare meeting materials.
School-Year program support:
-Update presentation slides and other educational materials for school-year programs.
-May write and or edit educational materials such as text updates for https://www2.cisl.ucar.edu/outreach/resources
-May test and evaluate new educational materials.
-Additional tasks and professional development opportunities may be assigned according to the intern’s skills and interests.
Company DescriptionAt NCAR - the National Center for Atmospheric Research - we study weather, water, climate, air quality, and space weather to help protect lives and livelihoods, grow the economy, and enhance our nation’s security and well-being. We collaborate with research partners to advance the science that makes predictions better and with end users to develop applications for forecasters, farmers, resource managers, retailers, the military, and many other stakeholders.
UCAR - the University Corporation for Atmospheric Research - manages NCAR on behalf of the National Science Foundation. We are a nonprofit consortium of more than 115 colleges and universities with research and training programs in Earth system science. We bring together the academic community and provide the operational management that are both essential to NCAR's success. UCAR’s community programs, from educational resources to data delivery and other services, extend the reach and impact of NCAR’s world-class research to the community and society.
We seek talented people with diverse backgrounds, training, and skills to join us in our mission of science in service to society. Want to learn more? Visit ucar.edu.
The NSF NCAR Vision:
A world-class research center leading, promoting and facilitating innovation in the atmospheric and related Earth and Sun systems sciences
The NSF NCAR Mission:
To understand the behavior of the atmosphere and related Earth and geospace systems To support, enhance, and extend the capabilities of the university community and the broader scientific community, nationally and internationally To foster the transfer of knowledge and technology for the betterment of life on Earth
Learn more about NSF NCAR: Science for a Resilient, Sustainable Society: https://youtu.be/swGsM1L0Jhk
·
·
2025-11-03
Event Type
Job Posting
TimeMonday, 17 November 20254:47pm - 4:47pm CST
LocationHall 6
United States of America
NSF National Center for Atmospheric Research (NCAR)
In-person
Full Time
Monday, 17 November 2025 4:47pm-4:48pm Hall 6
Help Desk & Multimedia Manager - Assistant Director of Enterprise IT
·
NSF National Center for Atmospheric Research (NCAR) and University Corporation for Atmospheric Research (UCAR)
·
Boulder, Colorado
Hide Details
SessionJob Postings
DescriptionReporting to the Chief Information Officer and serving as an Assistant Director of Enterprise IT, the Help Desk and Multimedia Manager is a critical leadership position at the core of IT customer service and is responsible for the smooth operation and strategic advancement of the organization's technology services.
This individual is responsible for overseeing the daily operations of the IT Help Desk and Multimedia Services team, ensuring exceptional user support, efficient service delivery, and the effective use
of multimedia technologies.
As an Assistant Director of EIT, this role also contributes significantly to the broader strategic planning, project management, and operational efficiency of the entire Enterprise IT department, acting as a key advisor to the CIO and serving on the IT Senior Leadership Team.
-----------------------------
Help Desk Management (50%)
● Service Delivery & Operations:
Lead, manage, and mentor a team of Help Desk technicians, fostering a culture of customer service excellence, continuous improvement, and problem-solving.
Oversee the day-to-day operations of the IT Help Desk, ensuring timely and effective resolution of technical issues for all staff.
Develop, implement, and refine Help Desk policies, procedures, and best practices to optimize efficiency and user satisfaction.
Manage the ticketing system (e.g., ServiceNow, Jira Service Management) to ensure proper prioritization, escalation, tracking, and reporting of all incidents and service requests.
Provide ticket triage support to all of UCAR, UCP, and NSF NCAR, while directly providing ticket resolution support to a subset of those groups.
Partner closely with NSF NCAR Research IT to effectively hand off tickets for last-mile ticket resolution within NSF NCAR.
● Performance & Quality Assurance:
Establish and monitor key performance indicators (KPIs) and service level agreements (SLAs) for Help Desk operations, driving continuous improvement in response times, resolution rates, and customer satisfaction.
Conduct regular quality assurance reviews of Help Desk interactions and resolutions, providing constructive feedback and training to staff.
Implement user feedback mechanisms to continuously assess and improve service quality.
● Knowledge Management:
Develop and maintain a comprehensive knowledge base for common IT issues and solutions, empowering users with self-service options and improving technician efficiency.
Ensure all documentation for IT systems and processes relevant to end-users is current and accessible.
Multimedia Services Management (25%)
At this time, the Enterprise Multimedia Team has a Lead with subject matter expertise in multimedia services, audiovisual technologies, and event, conference, and meeting support. This Lead reports to the Help Desk and Multimedia Manager, and as a result the HDMM Manager will require less direct expertise in multimedia delivery. The HDMM Manager is nonetheless accountable for multimedia service delivery including:
● Operations & Support:
Oversee the delivery of multimedia services, including audio-visual support for meetings, conferences, and events (both in-person and virtual).
Manage the setup, operation, and maintenance of conference room technology, presentation systems, video conferencing solutions, and digital signage.
Provide expert guidance and support for live streaming, recording, and editing of multimedia content.
Work closely with administrators and IT staff in UCAR, UCP, and NSF NCAR, to provide counseling, advice, and design support for rooms outside the purview of Enterprise Multimedia Services.
● Technology Management:
Evaluate, recommend, and implement new multimedia technologies and solutions to enhance collaboration and communication capabilities.
Ensure the reliability, security, and performance of all multimedia systems and equipment.
Manage inventory and lifecycle of multimedia hardware and software.
● Training & Consultation:
Train users on multimedia equipment and best practices for effective presentations and virtual meetings.
Consult with departments and project teams on multimedia requirements for various initiatives.
Assistant Director of Enterprise IT (25%)
● Strategic Planning & Development:
Collaborate with the CIO and the IT Senior Leadership Team on strategic planning, goal setting, and the development of long-term technology roadmaps.
Identify opportunities for technology innovation and process improvement across the EIT department.
Assist in the development and management of the EIT budget, ensuring efficient allocation of resources.
● Project Leadership & Management:
Lead or co-lead key cross-functional IT projects from inception to completion, ensuring adherence to timelines, budgets, and scope.
Represent EIT in various organizational committees and working groups.
Coordinate efforts between different EIT teams (e.g., Network, Systems, Applications) to ensure integrated and effective service delivery.
● Operational Oversight & Improvement:
Support the CIO in ensuring the overall operational efficiency, reliability, and security of enterprise IT systems and services.
Contribute to disaster recovery and business continuity planning for IT services.
● Vendor Management & Procurement:
Assist in managing relationships with IT vendors and service providers, evaluating contracts, and overseeing service delivery.
Participate in the procurement process for new IT hardware, software, and services.
Other Desired/Required Skills/Experience
Understands how to effectively communicate the importance of customer service to the team, and how to ensure that customers receive a good experience.
Understands the relationship between organizational activities and the IT capabilities that can help support those activities. Communicates that relationship effectively to both organizational leadership as well as IT leadership.
Independently evaluates software, hardware, and cloud solutions for complex problems. Recommends and/or supports the recommendation of full solutions to the Enterprise IT leadership team and organizational leadership teams including systems to be purchased, strategies to follow, personnel required, and plans for reaching goals. Presents proposed solutions to appropriate governance bodies. Builds support where necessary. Manages projects through to completion.
Determines best application of resources to achieve results based on organizational and Enterprise IT strategies and priorities.
Evaluates strategies and system deployments.
Solves complex problems common to heterogeneous computing environments including mobile devices, customers, cloud services, and virtual environments.
Recommends best courses of action to maintain productive, secure, computing environments that enable the organizational mission to take place effectively. Assumes responsibility for the integrity of design decisions, taking into account economic, political, cultural, and technical considerations.
This individual is responsible for overseeing the daily operations of the IT Help Desk and Multimedia Services team, ensuring exceptional user support, efficient service delivery, and the effective use
of multimedia technologies.
As an Assistant Director of EIT, this role also contributes significantly to the broader strategic planning, project management, and operational efficiency of the entire Enterprise IT department, acting as a key advisor to the CIO and serving on the IT Senior Leadership Team.
-----------------------------
Help Desk Management (50%)
● Service Delivery & Operations:
Lead, manage, and mentor a team of Help Desk technicians, fostering a culture of customer service excellence, continuous improvement, and problem-solving.
Oversee the day-to-day operations of the IT Help Desk, ensuring timely and effective resolution of technical issues for all staff.
Develop, implement, and refine Help Desk policies, procedures, and best practices to optimize efficiency and user satisfaction.
Manage the ticketing system (e.g., ServiceNow, Jira Service Management) to ensure proper prioritization, escalation, tracking, and reporting of all incidents and service requests.
Provide ticket triage support to all of UCAR, UCP, and NSF NCAR, while directly providing ticket resolution support to a subset of those groups.
Partner closely with NSF NCAR Research IT to effectively hand off tickets for last-mile ticket resolution within NSF NCAR.
● Performance & Quality Assurance:
Establish and monitor key performance indicators (KPIs) and service level agreements (SLAs) for Help Desk operations, driving continuous improvement in response times, resolution rates, and customer satisfaction.
Conduct regular quality assurance reviews of Help Desk interactions and resolutions, providing constructive feedback and training to staff.
Implement user feedback mechanisms to continuously assess and improve service quality.
● Knowledge Management:
Develop and maintain a comprehensive knowledge base for common IT issues and solutions, empowering users with self-service options and improving technician efficiency.
Ensure all documentation for IT systems and processes relevant to end-users is current and accessible.
Multimedia Services Management (25%)
At this time, the Enterprise Multimedia Team has a Lead with subject matter expertise in multimedia services, audiovisual technologies, and event, conference, and meeting support. This Lead reports to the Help Desk and Multimedia Manager, and as a result the HDMM Manager will require less direct expertise in multimedia delivery. The HDMM Manager is nonetheless accountable for multimedia service delivery including:
● Operations & Support:
Oversee the delivery of multimedia services, including audio-visual support for meetings, conferences, and events (both in-person and virtual).
Manage the setup, operation, and maintenance of conference room technology, presentation systems, video conferencing solutions, and digital signage.
Provide expert guidance and support for live streaming, recording, and editing of multimedia content.
Work closely with administrators and IT staff in UCAR, UCP, and NSF NCAR, to provide counseling, advice, and design support for rooms outside the purview of Enterprise Multimedia Services.
● Technology Management:
Evaluate, recommend, and implement new multimedia technologies and solutions to enhance collaboration and communication capabilities.
Ensure the reliability, security, and performance of all multimedia systems and equipment.
Manage inventory and lifecycle of multimedia hardware and software.
● Training & Consultation:
Train users on multimedia equipment and best practices for effective presentations and virtual meetings.
Consult with departments and project teams on multimedia requirements for various initiatives.
Assistant Director of Enterprise IT (25%)
● Strategic Planning & Development:
Collaborate with the CIO and the IT Senior Leadership Team on strategic planning, goal setting, and the development of long-term technology roadmaps.
Identify opportunities for technology innovation and process improvement across the EIT department.
Assist in the development and management of the EIT budget, ensuring efficient allocation of resources.
● Project Leadership & Management:
Lead or co-lead key cross-functional IT projects from inception to completion, ensuring adherence to timelines, budgets, and scope.
Represent EIT in various organizational committees and working groups.
Coordinate efforts between different EIT teams (e.g., Network, Systems, Applications) to ensure integrated and effective service delivery.
● Operational Oversight & Improvement:
Support the CIO in ensuring the overall operational efficiency, reliability, and security of enterprise IT systems and services.
Contribute to disaster recovery and business continuity planning for IT services.
● Vendor Management & Procurement:
Assist in managing relationships with IT vendors and service providers, evaluating contracts, and overseeing service delivery.
Participate in the procurement process for new IT hardware, software, and services.
Other Desired/Required Skills/Experience
Understands how to effectively communicate the importance of customer service to the team, and how to ensure that customers receive a good experience.
Understands the relationship between organizational activities and the IT capabilities that can help support those activities. Communicates that relationship effectively to both organizational leadership as well as IT leadership.
Independently evaluates software, hardware, and cloud solutions for complex problems. Recommends and/or supports the recommendation of full solutions to the Enterprise IT leadership team and organizational leadership teams including systems to be purchased, strategies to follow, personnel required, and plans for reaching goals. Presents proposed solutions to appropriate governance bodies. Builds support where necessary. Manages projects through to completion.
Determines best application of resources to achieve results based on organizational and Enterprise IT strategies and priorities.
Evaluates strategies and system deployments.
Solves complex problems common to heterogeneous computing environments including mobile devices, customers, cloud services, and virtual environments.
Recommends best courses of action to maintain productive, secure, computing environments that enable the organizational mission to take place effectively. Assumes responsibility for the integrity of design decisions, taking into account economic, political, cultural, and technical considerations.
RequirementsEducation:
Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field. Master's degree preferred.
Experience:
Minimum of 8 years of progressive experience in IT, with at least 3-5 years in a leadership or management role overseeing help desk, desktop support, or IT operations.
Proven experience managing or significantly contributing to multimedia/audiovisual support services.
Demonstrated experience in strategic planning and project management within an IT department.
Strong track record of improving IT service delivery and customer satisfaction.
Experience with IT Service Management (ITSM) frameworks (e.g., ITIL).
KNOWLEDGE/SKILLS/ABILITIES
Technical Skills:
Proficiency with Help Desk ticketing systems (e.g., Jira Service Management).
Solid understanding of operating systems (Windows, macOS, Linux), network fundamentals, and common business applications (e.g., Microsoft 365, Google Workspace).
Knowledge of video conferencing platforms (e.g., Google Meet, Zoom), AV equipment, and live streaming technologies.
Familiarity with cybersecurity best practices as they relate to end-user devices and services.
Leadership Skills:
Exceptional leadership, team-building, and mentorship abilities.
Outstanding customer service orientation and communication skills (verbal and written).
Strong analytical, problem-solving, and decision-making capabilities.
Ability to manage multiple priorities in a fast-paced environment.
Excellent interpersonal skills, with the ability to collaborate effectively with diverse stakeholders at all levels of the organization.
Preferred Certifications
ITIL Foundation or higher
CompTIA A+, Network+, Security+
PMP (Project Management Professional)
Microsoft Certified: Modern Desktop Administrator Associate
Company DescriptionAt NCAR - the National Center for Atmospheric Research - we study weather, water, climate, air quality, and space weather to help protect lives and livelihoods, grow the economy, and enhance our nation’s security and well-being. We collaborate with research partners to advance the science that makes predictions better and with end users to develop applications for forecasters, farmers, resource managers, retailers, the military, and many other stakeholders.
UCAR - the University Corporation for Atmospheric Research - manages NCAR on behalf of the National Science Foundation. We are a nonprofit consortium of more than 115 colleges and universities with research and training programs in Earth system science. We bring together the academic community and provide the operational management that are both essential to NCAR's success. UCAR’s community programs, from educational resources to data delivery and other services, extend the reach and impact of NCAR’s world-class research to the community and society.
We seek talented people with diverse backgrounds, training, and skills to join us in our mission of science in service to society. Want to learn more? Visit ucar.edu.
The NSF NCAR Vision:
A world-class research center leading, promoting and facilitating innovation in the atmospheric and related Earth and Sun systems sciences
The NSF NCAR Mission:
To understand the behavior of the atmosphere and related Earth and geospace systems To support, enhance, and extend the capabilities of the university community and the broader scientific community, nationally and internationally To foster the transfer of knowledge and technology for the betterment of life on Earth
Learn more about NSF NCAR: Science for a Resilient, Sustainable Society: https://youtu.be/swGsM1L0Jhk
·
·
2025-11-14
Event Type
Job Posting
TimeMonday, 17 November 20254:47pm - 4:48pm CST
LocationHall 6
United States of America
NSF National Center for Atmospheric Research (NCAR) and University Corporation for Atmospheric Research (UCAR)
In-person
Full Time
Monday, 17 November 2025 4:48pm-4:48pm Hall 6
Solidigm Undergraduate Engineering Interns
·
Solidigm
·
Rancho Cordova, CA
Hide Details
SessionJob Postings
DescriptionWe are looking for driven and innovative undergraduate students to join Solidigm’s engineering team as interns. These internships offer hands-on experience in a collaborative environment where you’ll contribute to impactful projects and explore emerging technologies.
Eligible Majors
• Electrical Engineering
• Computer Engineering
• Computer Science
• Data Science / Data Analytics
• Other related Science or Engineering Discipline
________________________________________
Key Responsibilities
Interns may be assigned one or more of the following responsibilities based on project needs and individual strengths:
• Validation & Debugging: Support validation of engineering workflows and assist in debugging software or hardware systems.
• AI Tools & Workflows: Contribute to the evaluation and implementation of AI-assisted workflow improvements.
• Process Improvements: Identify and recommend enhancements to engineering processes and team efficiency.
• Automation for CAD/Design: Develop scripts or tools to automate CAD and design-related tasks.
• Technical Documentation: Create and maintain clear, concise documentation for tools, processes, and project deliverables.
• Data Analysis: Analyze engineering and operational data to support decision-making and performance optimization.
Eligible Majors
• Electrical Engineering
• Computer Engineering
• Computer Science
• Data Science / Data Analytics
• Other related Science or Engineering Discipline
________________________________________
Key Responsibilities
Interns may be assigned one or more of the following responsibilities based on project needs and individual strengths:
• Validation & Debugging: Support validation of engineering workflows and assist in debugging software or hardware systems.
• AI Tools & Workflows: Contribute to the evaluation and implementation of AI-assisted workflow improvements.
• Process Improvements: Identify and recommend enhancements to engineering processes and team efficiency.
• Automation for CAD/Design: Develop scripts or tools to automate CAD and design-related tasks.
• Technical Documentation: Create and maintain clear, concise documentation for tools, processes, and project deliverables.
• Data Analysis: Analyze engineering and operational data to support decision-making and performance optimization.
RequirementsQualifications
Not all qualifications are required for every role. Candidates with a mix of the following are encouraged to apply:
• Currently pursuing a Bachelor’s degree in one of the eligible majors.
• Familiarity with programming languages such as Python, Java, C++, or MATLAB.
• Experience with AI/ML tools, data analytics platforms, or CAD software is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Self-motivated and eager to learn.
What You’ll Gain
• Mentorship from experienced engineers and program managers.
• Exposure to real-world engineering challenges and AI-driven solutions.
• Opportunities to present your work and receive feedback.
• Networking with peers and professionals across the organization.
Company DescriptionJoin a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.
·
·
2025-11-14
Event Type
Job Posting
TimeMonday, 17 November 20254:48pm - 4:48pm CST
LocationHall 6
United States of America
Solidigm
In-person
Full Time
Similar Presentations
Solidigm Graduate Engineering Internship
·
Solidigm
·
Rancho Cordova, CA
Hide Details
SessionJob Postings
DescriptionWe are looking for driven and innovative graduate students to join Solidigm’s engineering team as interns. These internships offer hands-on experience in a collaborative environment where you’ll contribute to impactful projects and explore emerging technologies.
Eligible Majors
• Electrical Engineering
• Computer Engineering
• Computer Science
• Data Science / Data Analytics
• Mechanical Engineering
• Other related Science or Engineering Discipline
Solidigm is seeking passionate and driven graduate-level interns to join our Engineering teams. This internship offers a unique opportunity to work on impactful projects across multiple domains including firmware development, technology pathfinding, hardware validation, strategic planning, reliability engineering, and AI-driven innovation.
Key Focus Areas:
Interns will be matched to projects based on their skills and interests across the following tracks:
🔧 Firmware Engineering
• Contribute to firmware development and validation for next-gen SSD products.
• Work on code coverage improvements, debugging, and tool enhancements.
• Collaborate in agile teams to groom and execute backlog tasks.
🧪 Technology Development & Validation
• Support system-level workload studies and performance benchmarking.
• Develop and execute test plans for media policy and backend test flows.
• Assist in thermal mechanical validation and lab automation.
🛠️ Hardware Engineering
• Participate in high-speed I/O characterization and NAND testing.
• Build and enhance test programs using advanced equipment (e.g., T5835).
• Support immersion cooling capability development and lab setup.
📊 Strategy & Data Analytics
• Build AI dashboards and visualizations using PowerBI and Snowflake.
• Analyze customer/product data and competitive insights using ML/AI techniques.
• Collaborate cross-functionally with Global Ops, IT, and Strategy teams.
🤖 AI & Automation
• Develop AI-powered tools to streamline workflows and improve code quality.
• Explore vector indexing and inference benchmarking using GPU/NVME platforms.
• Create intelligent dashboards for predictive metrics and decision-making.
Eligible Majors
• Electrical Engineering
• Computer Engineering
• Computer Science
• Data Science / Data Analytics
• Mechanical Engineering
• Other related Science or Engineering Discipline
Solidigm is seeking passionate and driven graduate-level interns to join our Engineering teams. This internship offers a unique opportunity to work on impactful projects across multiple domains including firmware development, technology pathfinding, hardware validation, strategic planning, reliability engineering, and AI-driven innovation.
Key Focus Areas:
Interns will be matched to projects based on their skills and interests across the following tracks:
🔧 Firmware Engineering
• Contribute to firmware development and validation for next-gen SSD products.
• Work on code coverage improvements, debugging, and tool enhancements.
• Collaborate in agile teams to groom and execute backlog tasks.
🧪 Technology Development & Validation
• Support system-level workload studies and performance benchmarking.
• Develop and execute test plans for media policy and backend test flows.
• Assist in thermal mechanical validation and lab automation.
🛠️ Hardware Engineering
• Participate in high-speed I/O characterization and NAND testing.
• Build and enhance test programs using advanced equipment (e.g., T5835).
• Support immersion cooling capability development and lab setup.
📊 Strategy & Data Analytics
• Build AI dashboards and visualizations using PowerBI and Snowflake.
• Analyze customer/product data and competitive insights using ML/AI techniques.
• Collaborate cross-functionally with Global Ops, IT, and Strategy teams.
🤖 AI & Automation
• Develop AI-powered tools to streamline workflows and improve code quality.
• Explore vector indexing and inference benchmarking using GPU/NVME platforms.
• Create intelligent dashboards for predictive metrics and decision-making.
Requirements• Currently pursuing a Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, Data Analytics, or related field.
• Experience with C++, Python, PowerBI, ML/AI frameworks, or hardware testing tools.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
What You’ll Gain:
• Hands-on experience with cutting-edge technologies and tools.
• Mentorship from experienced engineers and leaders.
• Exposure to real-world challenges and strategic initiatives.
• Opportunity to contribute to impactful projects and innovations.
Company DescriptionJoin a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.
·
·
2025-11-14
Event Type
Job Posting
TimeMonday, 17 November 20254:48pm - 4:48pm CST
LocationHall 6
United States of America
Solidigm
In-person
Full Time
Senior Software Engineer - AI/HPC
·
SYSTEM-STACK
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionSeeking a Senior Software Developer to join SYSTEM-STACK development team.
This is a great opportunity to get in at a very early stage.
This is a great opportunity to get in at a very early stage.
RequirementsMust have skills
5+ years combined experience on Linux based large scale HPC or AI environments doing:
- Code development in C, C++
- Scripting in Bash, python
- Development and running microbenchmarks for performance analysis at scale.
- Measuring and analyzing metrics with telemetry frameworks such as Prometheus or OpenTelemetry.
- Profiling of distributed applications.
- Software development under Github and CI/CD.
- Building linux containers.
Must have soft skills
2+ years combined experience in:
- Mentoring/close collaboration with other developers.
- Project management skills applied to software development.
Company DescriptionSYSTEM-STACK is a software company that provides tools and services for proactive system monitoring and performance analysis to help clients optimize HPC and AI infrastructure at scale and prevent or fix issues in real-time. Key aspects of their business include real-time proactive monitoring, performance optimization, cloud solutions, professional services.
Site: https://system-stack.com
·
·
2025-11-14
Event Type
Job Posting
TimeMonday, 17 November 20254:48pm - 4:48pm CST
LocationHall 6
United States of America
SYSTEM-STACK
In-person
Full Time
Monday, 17 November 2025 4:48pm-4:49pm Hall 6
Research Scientist, Machine Learning (PhD)
·
Meta
·
Menlo Park, CA
Hide Details
SessionJob Postings
DescriptionAs a member of our team, you will have the opportunity to apply your technical expertise to drive innovation and solve complex problems. Your experience with frameworks such as PyTorch, TensorFlow, or equivalent, as well as your ability to translate insights into business recommendations, will be valuable assets in this role. We are looking for individuals who are passionate about building and shipping high-quality work, achieving high reliability, and working independently without guidance.
This is a Software Engineering role, and core responsibilities include coding and applied engineering work. You will be expected to write high-quality, efficient, and maintainable code, and contribute to the development of innovative software solutions. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that push the boundaries of scalable computing. We offer a dynamic and innovative work environment that encourages creativity and experimentation, as well as opportunities for professional growth and development. If you are passionate about driving innovation and advancing the way people connect, we encourage you to apply for this exciting opportunity.
This is a Software Engineering role, and core responsibilities include coding and applied engineering work. You will be expected to write high-quality, efficient, and maintainable code, and contribute to the development of innovative software solutions. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that push the boundaries of scalable computing. We offer a dynamic and innovative work environment that encourages creativity and experimentation, as well as opportunities for professional growth and development. If you are passionate about driving innovation and advancing the way people connect, we encourage you to apply for this exciting opportunity.
RequirementsMinimum Qualifications
Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Engineering or relevant technical field. Degree must be completed prior to joining Meta
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
Proven experience to translate insights into business recommendations
Experience building and shipping high quality work and achieving high reliability
Experience in systems software or algorithms
Experience programming in a relevant language
Experience identifying, designing and completing medium to large features independently, without guidance
Preferred Qualifications
Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields
Experience with programming languages such as Python, R, MATLAB
Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as KDD, NeurIPS, ICML, WWW, ACL, ICLR, CVPR or similar
Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
Interpersonal experience working and communicating cross functionally in a team environment
Exposure to architectural patterns of large scale software applications
Company DescriptionMeta is at the forefront of a transformative change in its business and technology, and our research teams are driving this evolution. As a Research Scientist at Meta, you will have the opportunity to work on crucial projects and initiatives that have never been done before, helping to advance the way people connect around the world. You will be responsible for proactively identifying and driving changes as needed for your assigned codebase, product area, and/or systems, building strong cross-functional partnerships, and suggesting, collecting, and synthesizing requirements to create effective feature roadmaps. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist.
·
·
2025-11-17
Event Type
Job Posting
TimeMonday, 17 November 20254:48pm - 4:49pm CST
LocationHall 6
United States of America
Meta
In-person
Full Time
Monday, 17 November 2025 4:49pm-4:49pm Hall 6
AI/HPC System Performance Engineer
·
Meta
·
Menlo Park, CA
Hide Details
SessionJob Postings
DescriptionAI/HPC System Performance Engineer Responsibilities
Lead multi-disciplinary teams to develop solutions for large scale training systems. Assess trade-offs of various solutions and make pragmatic decisions
Ensure timely milestone delivery with teamwork and close collaboration
Responsible for the overall performance of the communication system, including performance benchmarking, monitoring and troubleshooting production issues
Defining technical vision and driving a multi-year roadmap to make progress towards the related objectives
Work with cross functional teams and provide guidance on the AI network architecture including topologies, transport, congestion control techniques
Lead multi-disciplinary teams to develop solutions for large scale training systems. Assess trade-offs of various solutions and make pragmatic decisions
Ensure timely milestone delivery with teamwork and close collaboration
Responsible for the overall performance of the communication system, including performance benchmarking, monitoring and troubleshooting production issues
Defining technical vision and driving a multi-year roadmap to make progress towards the related objectives
Work with cross functional teams and provide guidance on the AI network architecture including topologies, transport, congestion control techniques
RequirementsMinimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience with developing, evaluating and debugging host networking protocols such as RDMA
10+ years of experience in designing, deploying and operating networks
Experience with triaging performance issues in complex scale-out distributed applications
Preferred Qualifications
Experience with developing communication libraries, such as Message Passing Interface, NCCL, and UCX
Understanding of AI training workloads and demands they exert on networks
Understanding of RDMA congestion control mechanisms on InfiniBand and RoCE Networks
Understanding of the latest artificial intelligence (AI) technologies
Experience with machine learning frameworks such as PyTorch and TensorFlow
Experience in developing systems software in languages like C++
Company DescriptionMeta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing use cases of AI. This results in a dramatic scaling challenge that our engineers have to deal with on a daily basis. We need to build and evolve our network infrastructure that connects myriads of training accelerators like GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA workloads. These workloads expect a loss-less fabric interconnect with minimal latency. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, communications lib and scheduling infrastructure.
·
·
2025-11-17
Event Type
Job Posting
TimeMonday, 17 November 20254:49pm - 4:49pm CST
LocationHall 6
United States of America
Meta
In-person
Full Time
AI/HPC Network Engineering Manager
·
Meta
·
Menlo Park, CA
Hide Details
SessionJob Postings
DescriptionAI/HPC Network Engineering Manager Responsibilities
Manage engineers who are responsible for design, model, develop, test, deploy and operate AI/HPC Networks at scale
Provide continual feedback that is actionable, coach in career development and conduct performance reviews
Help define and drive a technical roadmap to meet organizational objectives
Be a hands-on manager with technical experience in networking, systems, hardware and software
Operate in a rapidly evolving environment, adapt quickly to new information, prioritize as needed
Proactively identify resource needs, participate in recruiting efforts, and hire to grow the team
Manage engineers who are responsible for design, model, develop, test, deploy and operate AI/HPC Networks at scale
Provide continual feedback that is actionable, coach in career development and conduct performance reviews
Help define and drive a technical roadmap to meet organizational objectives
Be a hands-on manager with technical experience in networking, systems, hardware and software
Operate in a rapidly evolving environment, adapt quickly to new information, prioritize as needed
Proactively identify resource needs, participate in recruiting efforts, and hire to grow the team
RequirementsMinimum Qualifications
8+ years of experience in systems, networking and troubleshooting
4+ years of direct management experience in technology sector
Experience in network automation software leveraging software defined networking principles
Engineering degree, or a related technical discipline or equivalent experience
Preferred Qualifications
2+ years of experience working on networks supporting large scale AI model training workloads
Expert Knowledge of IB/RDMA/RoCE Networks
Understanding of routing and switching - hardware design and knowledge of forwarding and data planes
Understanding of AI training workloads and demands they exert on networks
Understanding of RDMA congestion control mechanisms on IB and RoCE Networks
Company DescriptionMeta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing use cases of AI. This results in a dramatic scaling challenge that our engineers have to deal with on a daily basis. We need to build and evolve our network infrastructure that connects myriads of training accelerators like GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA (Remote Direct Memory Access) workloads. These workloads expect a loss-less fabric interconnect with minimal latency. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, communications lib and scheduling infrastructure.
·
·
2025-11-17
Event Type
Job Posting
TimeMonday, 17 November 20254:49pm - 4:49pm CST
LocationHall 6
United States of America
Meta
In-person
Full Time
Monday, 17 November 2025 4:49pm-4:50pm Hall 6
Software Engineer, SystemML - Scaling / Performance
·
Meta
·
Menlo Park, CA
Hide Details
SessionJob Postings
DescriptionIn this role, you will be a member of the Network.AI Software team and part of the bigger DC networking organization. The team develops and owns the software stack around NCCL (NVIDIA Collective Communications Library), which enables multi-GPU and multi-node data communication through HPC-style collectives. NCCL has been integrated into PyTorch and is on the critical path of multi-GPU distributed training. In other words, nearly every distributed GPU-based ML workload in Meta Production goes through the SW stack the team owns.
At the high level, the team aims to enable Meta-wide ML products and innovations to leverage our large-scale GPU training and inference fleet through an observable, reliable and high-performance distributed AI/GPU communication stack. Currently, one of the team’s focus is on building customized features, SW benchmarks, performance tuners and SW stacks around NCCL and PyTorch to improve the full-stack distributed ML reliability and performance (e.g. Large-Scale GenAI/LLM training) from the trainer down to the inter-GPU and network communication layer. And we are seeking for engineers to work on the space of GenAI/LLM scaling reliability and performance.
Software Engineer, SystemML - Scaling / Performance Responsibilities
Enabling reliable and highly scalable distributed ML training on Meta's large-scale GPU training infra with a focus on GenAI/LLM scaling
At the high level, the team aims to enable Meta-wide ML products and innovations to leverage our large-scale GPU training and inference fleet through an observable, reliable and high-performance distributed AI/GPU communication stack. Currently, one of the team’s focus is on building customized features, SW benchmarks, performance tuners and SW stacks around NCCL and PyTorch to improve the full-stack distributed ML reliability and performance (e.g. Large-Scale GenAI/LLM training) from the trainer down to the inter-GPU and network communication layer. And we are seeking for engineers to work on the space of GenAI/LLM scaling reliability and performance.
Software Engineer, SystemML - Scaling / Performance Responsibilities
Enabling reliable and highly scalable distributed ML training on Meta's large-scale GPU training infra with a focus on GenAI/LLM scaling
RequirementsMinimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Specialized experience in one or more of the following machine learning/deep learning domains: Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch)
Preferred Qualifications
Knowledge of GPU architectures and CUDA programming
Experience working with DL frameworks like PyTorch, Caffe2 or TensorFlow
Experience in AI framework and trainer development on accelerating large-scale distributed deep learning models
PhD in Computer Science, Computer Engineering, or relevant technical field
Experience with both data parallel and model parallel training, such as Distributed Data Parallel, Fully Sharded Data Parallel (FSDP), Tensor Parallel, and Pipeline Parallel
Experience in HPC and parallel computing
Knowledge of ML, deep learning and LLM
Experience with NCCL and distributed GPU reliability/performance improvment on RoCE/Infiniband
Company DescriptionMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
·
·
2025-11-17
Event Type
Job Posting
TimeMonday, 17 November 20254:49pm - 4:50pm CST
LocationHall 6
United States of America
Meta
In-person
Full Time
Monday, 17 November 2025 4:50pm-4:50pm Hall 6
Senior Staff Linux Systems Engineer, Compute & Storage
·
Groq
·
Remote, USA
Hide Details
SessionJob Postings
DescriptionMission:
At Groq, we are building a custom cloud from the ground up - one data center at a time. Our Compute Storage team owns the systems that turn racks of bare metal into production-ready Kubernetes clusters powering the next generation of AI workloads.
We are looking for a Sr. Staff Linux Systems Engineer to help us scale this effort. This role focuses on creating a reliable, performant and secure foundation for the Groq Cloud. You will work with your infrastructure peers to enable and optimize compute nodes and storage clusters that form Groq Cloud. We're looking for someone passionate about infrastructure who enjoys debugging close to the metal. If you're eager to grow your skills in deploying, scaling, and optimizing bare metal to support complex distributed HPC in the expanding inference market – we would love to talk.
Responsibilities & opportunities in this role:
Kernel and OS level enablement and optimization for compute nodes (GPU, LPU) and storage clusters.
Work with infrastructure peers to define optimal health standards for all production servers, including certified OS, Kernel, BIOS/FW versions.
Strengthen security posture through improving system level CVE response
Debug and resolve systems level performance and reliability issues in the fleet.
Work with vendors to debug and resolve BIOS/FW issues.
Support design and deployment of large GPU clusters.
Lead cross-functional collaboration with data center operations, networking, and platform teams to ensure infrastructure is fully integrated and production-ready.
Follow best practices and standards for infrastructure-as-code and configuration management using Git, Flux, Terraform, and related tools.
Set technical direction and maintain high-quality system documentation, operational runbooks, and internal tooling that improve the resilience, repeatability, and observability of the infrastructure stack.
Ideal candidates have/are:
Experience with Linux OS management in large virtualized environments.
Deep Kernel knowledge with experience working with the upstream community to resolve bugs.
Experience deploying large GPU clusters with network fabric.
Familiarity with infrastructure-as-code and Git-based workflows (e.g., Terraform, Flux, Kustomize).
Ability to write and maintain basic tooling in Go, Python, or Bash.
Understanding of networking fundamentals (IPAM, VLANs, DHCP, DNS).
Working knowledge of storage concepts (block vs object, NFS, RAID, etc.).
Strong sense of ownership and a willingness to dive into hardware, firmware, or low-level provisioning issues.
Nice to Have:
Exposure to Talos Linux.
Experience with maintaining a production Kubernetes environment.
Hardware SKU definition and lifecycle management.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
At Groq, we are building a custom cloud from the ground up - one data center at a time. Our Compute Storage team owns the systems that turn racks of bare metal into production-ready Kubernetes clusters powering the next generation of AI workloads.
We are looking for a Sr. Staff Linux Systems Engineer to help us scale this effort. This role focuses on creating a reliable, performant and secure foundation for the Groq Cloud. You will work with your infrastructure peers to enable and optimize compute nodes and storage clusters that form Groq Cloud. We're looking for someone passionate about infrastructure who enjoys debugging close to the metal. If you're eager to grow your skills in deploying, scaling, and optimizing bare metal to support complex distributed HPC in the expanding inference market – we would love to talk.
Responsibilities & opportunities in this role:
Kernel and OS level enablement and optimization for compute nodes (GPU, LPU) and storage clusters.
Work with infrastructure peers to define optimal health standards for all production servers, including certified OS, Kernel, BIOS/FW versions.
Strengthen security posture through improving system level CVE response
Debug and resolve systems level performance and reliability issues in the fleet.
Work with vendors to debug and resolve BIOS/FW issues.
Support design and deployment of large GPU clusters.
Lead cross-functional collaboration with data center operations, networking, and platform teams to ensure infrastructure is fully integrated and production-ready.
Follow best practices and standards for infrastructure-as-code and configuration management using Git, Flux, Terraform, and related tools.
Set technical direction and maintain high-quality system documentation, operational runbooks, and internal tooling that improve the resilience, repeatability, and observability of the infrastructure stack.
Ideal candidates have/are:
Experience with Linux OS management in large virtualized environments.
Deep Kernel knowledge with experience working with the upstream community to resolve bugs.
Experience deploying large GPU clusters with network fabric.
Familiarity with infrastructure-as-code and Git-based workflows (e.g., Terraform, Flux, Kustomize).
Ability to write and maintain basic tooling in Go, Python, or Bash.
Understanding of networking fundamentals (IPAM, VLANs, DHCP, DNS).
Working knowledge of storage concepts (block vs object, NFS, RAID, etc.).
Strong sense of ownership and a willingness to dive into hardware, firmware, or low-level provisioning issues.
Nice to Have:
Exposure to Talos Linux.
Experience with maintaining a production Kubernetes environment.
Hardware SKU definition and lifecycle management.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:50pm - 4:50pm CST
LocationHall 6
United States of America
Groq
Remote
Full Time
Senior Observability Engineer
·
Groq
·
Remote, USA
Hide Details
SessionJob Postings
DescriptionMission:
Ensure the reliability, scalability, and performance of Groq’s observability tools and services for provisioning and managing the full lifecycle of Groq hardware, software, and networking systems at massive scale.
Responsibilities & opportunities in this role:
Build and maintain comprehensive observability systems at massive scale. Obsess about running high quality production systems with excellent uptime that engineers can trust.
Constantly iterate on, maintain, update, automate, and dogfood your own systems. Put in place great monitoring of your own systems that can be used as best practices by the rest of the organization.
Instrument Kubernetes clusters, applications, and datacenter infrastructure components such as switches, PDUs, environmental sensors, cameras, chillers, etc.
Familiarity with and strong opinions on signals:
Effective canonical logging and cost control
Tracing expertise including context propagation, tail sampling strategies, attribute enrichment, querying
Metrics derived from a variety of systems such as hosts, kube-state-metrics, kubelet, IPMI, SNMP
Be a teacher: advise teams on instrumenting their applications in a variety of languages (Rust, C++, TypeScript, GoLang), implementing sensible SLO and alerting strategies, as well as on-call best practices.
Be a student: Groq is uniquely vertically integrated. You will be challenged with tasks in unfamiliar domains, and constantly expand your knowledge of technologies ranging from networking to FPGA design.
Ideal Candidates have/are:
4+ years of experience in observability as a core responsibility of previous roles
Deep understanding of cloud-native technologies and infrastructure as a service (IaaS) such as Terraform and Flux
Have instrumented large Kubernetes clusters and built operators
Expertise in standing up and running monitoring, observability, and alerting systems — OpenTelemetry Tracing and Collector, Grafana/Prometheus, PagerDuty, AlertManager, IPMI, SNMP, etc.
Strong analytical and problem-solving skills with a focus on root cause analysis and mitigation
Excellent communication and teamwork skills with the ability to collaborate effectively across engineering teams
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Ensure the reliability, scalability, and performance of Groq’s observability tools and services for provisioning and managing the full lifecycle of Groq hardware, software, and networking systems at massive scale.
Responsibilities & opportunities in this role:
Build and maintain comprehensive observability systems at massive scale. Obsess about running high quality production systems with excellent uptime that engineers can trust.
Constantly iterate on, maintain, update, automate, and dogfood your own systems. Put in place great monitoring of your own systems that can be used as best practices by the rest of the organization.
Instrument Kubernetes clusters, applications, and datacenter infrastructure components such as switches, PDUs, environmental sensors, cameras, chillers, etc.
Familiarity with and strong opinions on signals:
Effective canonical logging and cost control
Tracing expertise including context propagation, tail sampling strategies, attribute enrichment, querying
Metrics derived from a variety of systems such as hosts, kube-state-metrics, kubelet, IPMI, SNMP
Be a teacher: advise teams on instrumenting their applications in a variety of languages (Rust, C++, TypeScript, GoLang), implementing sensible SLO and alerting strategies, as well as on-call best practices.
Be a student: Groq is uniquely vertically integrated. You will be challenged with tasks in unfamiliar domains, and constantly expand your knowledge of technologies ranging from networking to FPGA design.
Ideal Candidates have/are:
4+ years of experience in observability as a core responsibility of previous roles
Deep understanding of cloud-native technologies and infrastructure as a service (IaaS) such as Terraform and Flux
Have instrumented large Kubernetes clusters and built operators
Expertise in standing up and running monitoring, observability, and alerting systems — OpenTelemetry Tracing and Collector, Grafana/Prometheus, PagerDuty, AlertManager, IPMI, SNMP, etc.
Strong analytical and problem-solving skills with a focus on root cause analysis and mitigation
Excellent communication and teamwork skills with the ability to collaborate effectively across engineering teams
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:50pm - 4:50pm CST
LocationHall 6
Groq
Remote
Full Time
Monday, 17 November 2025 4:50pm-4:51pm Hall 6
Staff Infrastructure Engineer
·
Groq
·
Palo Alto, CA
Hide Details
SessionJob Postings
DescriptionMission:
At Groq, we are building a custom cloud from the ground up - one data center at a time. Our Compute Storage team owns the systems that turn racks of bare metal into production-ready Kubernetes clusters powering the next generation of AI workloads.
We are looking for a Staff Infrastructure Engineer to help us scale this effort. This is a hands-on role focused on fully automating deployment and lifecycle management of the Groq Cloud server fleet. You will work closely with DC, network and platform teams to define and develop tools and automation that enable seamless deployment and management of Groq compute nodes and storage clusters. We're looking for someone passionate about infrastructure who enjoys debugging close to the metal. If you're eager to grow your skills in deploying, scaling, and optimizing bare metal to support complex distributed HPC in the expanding inference market – we would love to talk.
Responsibilities & Opportunities in this Role:
Develop robust, scalable automation solutions (Go, Python, Bash) to streamline and standardize deployment workflows across global data center environments.
Be part of large cross-functional collaboration with data center operations, networking, and platform teams, ensuring infrastructure is fully integrated and production-ready.
Develop automation to ensure all production machines and clusters consistently meet optimal health standards in a timely manner.
Define best practices and standards for infrastructure-as-code and configuration management using Git, Flux, Terraform, and related tools.
Set technical direction and maintain high-quality system documentation, operational runbooks, and internal tooling that improve the resilience, repeatability, and observability of the infrastructure stack.
Ideal candidates have/are:
Experience with deploying and supporting Linux / Kubernetes systems at scale.
Familiarity with infrastructure-as-code and Git-based workflows (e.g., Terraform, Flux, Kustomize).
Ability to write and maintain basic tooling in common modern languages such as Go and Python.
Understanding of networking fundamentals (IPAM, VLANs, DHCP, DNS).
Working knowledge of storage concepts (block vs object, NFS, RAID, etc.).
Strong sense of ownership and a willingness to work through ambiguity.
Nice to Have:
Experience provisioning physical machines in a data center environment.
Exposure to Talos Linux, Kubernetes bootstrapping, or Kubernetes platform engineering.
Previous collaboration with facilities, hardware, or network teams in an operational role.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
At Groq, we are building a custom cloud from the ground up - one data center at a time. Our Compute Storage team owns the systems that turn racks of bare metal into production-ready Kubernetes clusters powering the next generation of AI workloads.
We are looking for a Staff Infrastructure Engineer to help us scale this effort. This is a hands-on role focused on fully automating deployment and lifecycle management of the Groq Cloud server fleet. You will work closely with DC, network and platform teams to define and develop tools and automation that enable seamless deployment and management of Groq compute nodes and storage clusters. We're looking for someone passionate about infrastructure who enjoys debugging close to the metal. If you're eager to grow your skills in deploying, scaling, and optimizing bare metal to support complex distributed HPC in the expanding inference market – we would love to talk.
Responsibilities & Opportunities in this Role:
Develop robust, scalable automation solutions (Go, Python, Bash) to streamline and standardize deployment workflows across global data center environments.
Be part of large cross-functional collaboration with data center operations, networking, and platform teams, ensuring infrastructure is fully integrated and production-ready.
Develop automation to ensure all production machines and clusters consistently meet optimal health standards in a timely manner.
Define best practices and standards for infrastructure-as-code and configuration management using Git, Flux, Terraform, and related tools.
Set technical direction and maintain high-quality system documentation, operational runbooks, and internal tooling that improve the resilience, repeatability, and observability of the infrastructure stack.
Ideal candidates have/are:
Experience with deploying and supporting Linux / Kubernetes systems at scale.
Familiarity with infrastructure-as-code and Git-based workflows (e.g., Terraform, Flux, Kustomize).
Ability to write and maintain basic tooling in common modern languages such as Go and Python.
Understanding of networking fundamentals (IPAM, VLANs, DHCP, DNS).
Working knowledge of storage concepts (block vs object, NFS, RAID, etc.).
Strong sense of ownership and a willingness to work through ambiguity.
Nice to Have:
Experience provisioning physical machines in a data center environment.
Exposure to Talos Linux, Kubernetes bootstrapping, or Kubernetes platform engineering.
Previous collaboration with facilities, hardware, or network teams in an operational role.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:50pm - 4:51pm CST
LocationHall 6
United States of America
Groq
Remote
Full Time
Monday, 17 November 2025 4:51pm-4:51pm Hall 6
Staff Infrastructure Engineer, Engineering Infrastructure
·
Groq
·
Toronto
Hide Details
SessionJob Postings
DescriptionMission:
Your mission is to deliver practical, high-impact solutions that enable Groq engineers to move fast and focus on innovation. You will design and implement systems that simplify complexity, remove bottlenecks, and accelerate progress across the organization. By emphasizing speed, reliability, and automation, you’ll help teams get things done quickly while maintaining the highest standards of quality and efficiency.
Responsibilities & opportunities in this role:
Accelerate build and release systems to reduce wait times, increase reliability, and integrate seamlessly with tools like GitHub, Buildkite, and Nix.
Design and optimize CI/CD pipelines that deliver rapid, reliable feedback and enable frequent, high-quality releases across languages such as Haskell, C++, Rust, Go, and Python.
Automate quality and security practices including linting, static analysis, dependency management, and secure delivery of software.
Develop and support hardware-integrated test environments for Groq silicon, ensuring production-like reliability, scalability, and usability.
Drive automation and self-service across the engineering lifecycle with modern infrastructure and tooling.
Champion best practices and culture around speed, reliability, and continuous improvement in software delivery.
Ideal candidates have/are:
Strong background in software engineering with focus on infrastructure, build systems, and automation.
Proven experience designing and implementing CI/CD pipelines, build systems, and other engineering infrastructure.
Proficiency in Go and Python, with exposure to Haskell, C++, and Rust in large, fast-moving codebases.
Hands-on expertise with GitHub, Buildkite, Nix, plus modern source control and dependency management practices.
Experience collaborating across diverse teams (Compilers, Hardware, Cloud) to improve processes and accelerate delivery.
Passion for developer productivity and testing, enabling teams to deliver high-quality software quickly and reliably.
Experience with large monorepos is a strong asset, particularly in scaling tooling and workflows across diverse teams.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Your mission is to deliver practical, high-impact solutions that enable Groq engineers to move fast and focus on innovation. You will design and implement systems that simplify complexity, remove bottlenecks, and accelerate progress across the organization. By emphasizing speed, reliability, and automation, you’ll help teams get things done quickly while maintaining the highest standards of quality and efficiency.
Responsibilities & opportunities in this role:
Accelerate build and release systems to reduce wait times, increase reliability, and integrate seamlessly with tools like GitHub, Buildkite, and Nix.
Design and optimize CI/CD pipelines that deliver rapid, reliable feedback and enable frequent, high-quality releases across languages such as Haskell, C++, Rust, Go, and Python.
Automate quality and security practices including linting, static analysis, dependency management, and secure delivery of software.
Develop and support hardware-integrated test environments for Groq silicon, ensuring production-like reliability, scalability, and usability.
Drive automation and self-service across the engineering lifecycle with modern infrastructure and tooling.
Champion best practices and culture around speed, reliability, and continuous improvement in software delivery.
Ideal candidates have/are:
Strong background in software engineering with focus on infrastructure, build systems, and automation.
Proven experience designing and implementing CI/CD pipelines, build systems, and other engineering infrastructure.
Proficiency in Go and Python, with exposure to Haskell, C++, and Rust in large, fast-moving codebases.
Hands-on expertise with GitHub, Buildkite, Nix, plus modern source control and dependency management practices.
Experience collaborating across diverse teams (Compilers, Hardware, Cloud) to improve processes and accelerate delivery.
Passion for developer productivity and testing, enabling teams to deliver high-quality software quickly and reliably.
Experience with large monorepos is a strong asset, particularly in scaling tooling and workflows across diverse teams.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Company DescriptionAbout Groq
Groq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:51pm - 4:51pm CST
LocationHall 6
Canada
Groq
Remote
Full Time
Senior Cloud Infrastructure Engineer
·
Groq
·
Palo Alto, CA
Hide Details
SessionJob Postings
DescriptionMission:
Design, build, and operate large-scale cloud systems to deliver the fastest inference engine in the world.
Responsibilities & opportunities in this role:
Infrastructure Development: Design and automate cloud infrastructure using Terraform to support a wide variety of needs.
Global Footprint: Implement global load balancing with traffic steering, failover, and data locality requirements.
System Optimization: Diagnose and resolve performance issues, eliminating latency to ensure efficiency across all systems.
Dynamic Adaptability: Navigate all layers of the software stack–from TCP packet inspection at the edge to the Linux kernel scheduler–adapting swiftly to changing priorities and needs.
Attention to Detail: Uphold a high standard for code quality and system performance, taking pride in delivering impeccable work.
Ideal candidates have/can:
Experience: a proven track-record developing and operating global infrastructure at scale on at least one major cloud provider.
Automation Mindset: boost team velocity by building the right tools (Golang, Python, Bash) and integrating AI into everyday workflows.
Ownership: be self-directed and accountable; deliver projects end-to-end.
Curiosity: dive deep into complex systems to perform RCA on functionality, reliability, and latency issues.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Design, build, and operate large-scale cloud systems to deliver the fastest inference engine in the world.
Responsibilities & opportunities in this role:
Infrastructure Development: Design and automate cloud infrastructure using Terraform to support a wide variety of needs.
Global Footprint: Implement global load balancing with traffic steering, failover, and data locality requirements.
System Optimization: Diagnose and resolve performance issues, eliminating latency to ensure efficiency across all systems.
Dynamic Adaptability: Navigate all layers of the software stack–from TCP packet inspection at the edge to the Linux kernel scheduler–adapting swiftly to changing priorities and needs.
Attention to Detail: Uphold a high standard for code quality and system performance, taking pride in delivering impeccable work.
Ideal candidates have/can:
Experience: a proven track-record developing and operating global infrastructure at scale on at least one major cloud provider.
Automation Mindset: boost team velocity by building the right tools (Golang, Python, Bash) and integrating AI into everyday workflows.
Ownership: be self-directed and accountable; deliver projects end-to-end.
Curiosity: dive deep into complex systems to perform RCA on functionality, reliability, and latency issues.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionAbout Groq
Groq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:51pm - 4:51pm CST
LocationHall 6
United States of America
Groq
In-person
Full Time
Staff Production Engineer
·
Groq
·
Remote, USA
Hide Details
SessionJob Postings
DescriptionMission:
Join the team that builds and operates Groq’s real-time, distributed inference system delivering large-scale inference for LLMs and next-gen AI applications at ultra-low latency. As a Low-Level Production Engineer, your mission is to ensure reliability, fault tolerance, and operational excellence in Groq’s LPU-powered infrastructure. You’ll work deep in the stack—bridging distributed runtime systems with the hardware—to keep Groq systems fast, stable, and production-ready at scale.
Responsibilities & opportunities in this role:
Production Reliability: Operate and harden Groq’s distributed runtime across thousands of LPUs, ensuring uptime and resilience under dynamic global workloads.
Low-Level Debugging: Diagnose and resolve hardware-software integration issues in live environments, from datacenter level events to single component failures.
Observability & Diagnostics: Build tools and infrastructure to improve real-time system monitoring, fault detection, and SLO tracking.
Automation & Scale: Automate deployment workflows, failover systems, and operational playbooks to reduce overhead and accelerate reliability improvements.
Performance & Optimization: Profile and tune production systems for throughput, latency, and determinism—every cycle counts.
Cross-Functional Collaboration: Partner with compiler, hardware, infra, and data center teams to deliver robust, fault-tolerant production systems.
Ideal candidates have/are:
Proven experience in production engineering across the stack and operating large-scale distributed systems.
Deep knowledge of computer architecture, operating systems, and hardware-software interfaces.
Skilled in low-level systems programming (C/C++ or Rust), with scripting fluency (Python, Bash, or Go).
Comfortable debugging complex issues close to the metal—kernels, firmware, or hardware-aware code paths.
Strong background in automation, CI/CD, and building reliable systems that scale.
Thrive across environments—from kernel internals to distributed runtimes to data center operations.
Communicate clearly, make pragmatic decisions, and take ownership of long-term outcomes.
Nice to have:
Experience operating high-performance, real-time systems at scale (ML inference, HPC, or similar).
Familiarity with GPUs, FPGAs, or ASICs in production environments.
Prior exposure to ML frameworks (e.g., PyTorch) or compiler tooling (e.g., MLIR).
Track record of delivering complex production systems in high-impact environments.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Join the team that builds and operates Groq’s real-time, distributed inference system delivering large-scale inference for LLMs and next-gen AI applications at ultra-low latency. As a Low-Level Production Engineer, your mission is to ensure reliability, fault tolerance, and operational excellence in Groq’s LPU-powered infrastructure. You’ll work deep in the stack—bridging distributed runtime systems with the hardware—to keep Groq systems fast, stable, and production-ready at scale.
Responsibilities & opportunities in this role:
Production Reliability: Operate and harden Groq’s distributed runtime across thousands of LPUs, ensuring uptime and resilience under dynamic global workloads.
Low-Level Debugging: Diagnose and resolve hardware-software integration issues in live environments, from datacenter level events to single component failures.
Observability & Diagnostics: Build tools and infrastructure to improve real-time system monitoring, fault detection, and SLO tracking.
Automation & Scale: Automate deployment workflows, failover systems, and operational playbooks to reduce overhead and accelerate reliability improvements.
Performance & Optimization: Profile and tune production systems for throughput, latency, and determinism—every cycle counts.
Cross-Functional Collaboration: Partner with compiler, hardware, infra, and data center teams to deliver robust, fault-tolerant production systems.
Ideal candidates have/are:
Proven experience in production engineering across the stack and operating large-scale distributed systems.
Deep knowledge of computer architecture, operating systems, and hardware-software interfaces.
Skilled in low-level systems programming (C/C++ or Rust), with scripting fluency (Python, Bash, or Go).
Comfortable debugging complex issues close to the metal—kernels, firmware, or hardware-aware code paths.
Strong background in automation, CI/CD, and building reliable systems that scale.
Thrive across environments—from kernel internals to distributed runtimes to data center operations.
Communicate clearly, make pragmatic decisions, and take ownership of long-term outcomes.
Nice to have:
Experience operating high-performance, real-time systems at scale (ML inference, HPC, or similar).
Familiarity with GPUs, FPGAs, or ASICs in production environments.
Prior exposure to ML frameworks (e.g., PyTorch) or compiler tooling (e.g., MLIR).
Track record of delivering complex production systems in high-impact environments.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:51pm - 4:51pm CST
LocationHall 6
United States of America
Groq
Remote
Full Time
Monday, 17 November 2025 4:51pm-4:52pm Hall 6
Senior Staff Firmware Engineer
·
Groq
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionMission:
Own the end‑to‑end development of low‑level firmware that brings Groq’s AI‑accelerator hardware to life. Drive architectural decisions, mentor a growing team of firmware engineers, and champion best‑in‑class processes that accelerate time‑to‑market while raising the overall quality and reliability of our products.
Responsibilities & opportunities in this role:
Technical Leadership
Serve as the primary technical authority for firmware across the product stack (bootloader, drivers, RTOS, application‑level services). Provide vision, set standards, and make trade‑off decisions that balance performance, power, security, and maintainability.
Team Enablement
Lift up the team by conducting regular design reviews, pair‑programming sessions, and “firmware brown‑bag” tech talks. Mentor junior and mid‑level engineers; create growth paths that move engineers toward senior‑staff or principal levels.
Architecture & Design
Translate Product Requirement Documents (PRDs) into detailed firmware specifications, architecture diagrams, and interface contracts.
Define modular, reusable firmware frameworks that can be leveraged across multiple Groq products.
Leverage deep Embedded Linux and RTOS expertise, including crafting and maintaining Device Tree blobs to describe firmware‑hardware configuration for custom board integration.
Design and document the firmware‑hardware interface, ensuring seamless integration with the device tree and RTOS layers.
Performance & Reliability
Lead systematic profiling, optimization, and validation of latency‑critical paths (e.g., LPU DMA, interrupt latency, power‑state transitions). Implement robust error‑handling, watchdog, and safety mechanisms to guarantee > 99.99 % uptime in production.
Cross‑Functional Collaboration
Work hand‑in‑hand with hardware, silicon, system‑software, and AI‑software teams to co‑design interfaces (PCIe, DDR, high‑speed SerDes, I²C, SPI, etc.). Drive integration‑test strategies and resolve cross‑domain bugs quickly.
Continuous Improvement
Identify and implement process improvements (CI/CD pipelines for firmware, automated regression testing, static analysis, code‑review standards). Champion a culture of data‑driven decision making that yields measurable quality gains.
Bring‑up & Debug
Lead bring‑up activities for new LPU silicon, including bootloader development, early‑stage peripheral bring‑up, and post‑silicon validation. Perform hands‑on debugging in the lab using oscilloscopes, logic analyzers, JTAG/SWD, and in‑system trace tools.
Security & Compliance
Integrate secure boot, firmware encryption, attestation, and other security primitives. Support product certification (e.g., FCC, CE) and GTM readiness activities.
Ideal candidates have/are:
B.S. in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
10+ years of professional firmware development experience on complex, high‑performance SoC/ASIC platforms (preferably AI/ML accelerators).
Deep knowledge of C/C++ (C‑11 or later), assembly, and low‑level hardware interaction (memory‑mapped I/O, interrupt handling, DMA, bootloader design).
Proven experience with real‑time operating systems (FreeRTOS, Zephyr, VxWorks, ThreadX) and/or bare‑metal firmware for latency‑critical workloads.
Proficiency with high‑speed interfaces (PCIe Gen3/4, DDR4/5, SerDes, Ethernet), and lower‑speed buses (SPI, I²C, UART, CAN).
Nice to have:
AI/ML Firmware – Prior work on firmware for AI/ML inference engines, tensor accelerators, or similar workloads.
Datacenter Exposure – Understanding of server‑grade power, cooling, and reliability requirements.
Own the end‑to‑end development of low‑level firmware that brings Groq’s AI‑accelerator hardware to life. Drive architectural decisions, mentor a growing team of firmware engineers, and champion best‑in‑class processes that accelerate time‑to‑market while raising the overall quality and reliability of our products.
Responsibilities & opportunities in this role:
Technical Leadership
Serve as the primary technical authority for firmware across the product stack (bootloader, drivers, RTOS, application‑level services). Provide vision, set standards, and make trade‑off decisions that balance performance, power, security, and maintainability.
Team Enablement
Lift up the team by conducting regular design reviews, pair‑programming sessions, and “firmware brown‑bag” tech talks. Mentor junior and mid‑level engineers; create growth paths that move engineers toward senior‑staff or principal levels.
Architecture & Design
Translate Product Requirement Documents (PRDs) into detailed firmware specifications, architecture diagrams, and interface contracts.
Define modular, reusable firmware frameworks that can be leveraged across multiple Groq products.
Leverage deep Embedded Linux and RTOS expertise, including crafting and maintaining Device Tree blobs to describe firmware‑hardware configuration for custom board integration.
Design and document the firmware‑hardware interface, ensuring seamless integration with the device tree and RTOS layers.
Performance & Reliability
Lead systematic profiling, optimization, and validation of latency‑critical paths (e.g., LPU DMA, interrupt latency, power‑state transitions). Implement robust error‑handling, watchdog, and safety mechanisms to guarantee > 99.99 % uptime in production.
Cross‑Functional Collaboration
Work hand‑in‑hand with hardware, silicon, system‑software, and AI‑software teams to co‑design interfaces (PCIe, DDR, high‑speed SerDes, I²C, SPI, etc.). Drive integration‑test strategies and resolve cross‑domain bugs quickly.
Continuous Improvement
Identify and implement process improvements (CI/CD pipelines for firmware, automated regression testing, static analysis, code‑review standards). Champion a culture of data‑driven decision making that yields measurable quality gains.
Bring‑up & Debug
Lead bring‑up activities for new LPU silicon, including bootloader development, early‑stage peripheral bring‑up, and post‑silicon validation. Perform hands‑on debugging in the lab using oscilloscopes, logic analyzers, JTAG/SWD, and in‑system trace tools.
Security & Compliance
Integrate secure boot, firmware encryption, attestation, and other security primitives. Support product certification (e.g., FCC, CE) and GTM readiness activities.
Ideal candidates have/are:
B.S. in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
10+ years of professional firmware development experience on complex, high‑performance SoC/ASIC platforms (preferably AI/ML accelerators).
Deep knowledge of C/C++ (C‑11 or later), assembly, and low‑level hardware interaction (memory‑mapped I/O, interrupt handling, DMA, bootloader design).
Proven experience with real‑time operating systems (FreeRTOS, Zephyr, VxWorks, ThreadX) and/or bare‑metal firmware for latency‑critical workloads.
Proficiency with high‑speed interfaces (PCIe Gen3/4, DDR4/5, SerDes, Ethernet), and lower‑speed buses (SPI, I²C, UART, CAN).
Nice to have:
AI/ML Firmware – Prior work on firmware for AI/ML inference engines, tensor accelerators, or similar workloads.
Datacenter Exposure – Understanding of server‑grade power, cooling, and reliability requirements.
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:51pm - 4:52pm CST
LocationHall 6
United States of America
Groq
In-person
Full Time
Monday, 17 November 2025 4:52pm-4:52pm Hall 6
Senior Staff Hardware System Design Engineer
·
Groq
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionMission:
Perform detailed circuit design and analysis and component selection for cost-optimized solutions and ensure successful product development with aggressive product cycles.
Responsibilities & opportunities in this role:
Product‑Driven Design Leadership – Translate Product Requirement Documents (PRDs) into detailed board functional specifications, schematic capture, and PCB layout, ensuring every design decision aligns with the overall product strategy.
High‑Speed Interface Engineering – Architect and validate SerDes, PCIe, DDR, and other high‑bandwidth links, pushing the limits of signal integrity and timing closure.
Power Delivery & Sub‑Section Design – Design robust power rails (POLs, VRMs, etc.) that deliver clean, low‑noise supply to the GroqChip LPU while meeting stringent power budgets.
Low‑Speed Interface & Firmware Integration – Implement SPI, I²C, CAN‑bus, and other control buses, and interface them with CPLDs/FPGAs using Verilog to support board‑level control and diagnostics.
ASIC Bring‑Up & Validation – Lead the design of test boards for ASIC bring‑up and post‑silicon validation, debugging hardware and firmware issues in a lab environment.
Chassis & System Integration – Contribute to chassis design and multi‑system implementations, ensuring mechanical, thermal, and electrical compatibility across the product family.
Debug & Certification Support – Own end‑to‑end debugging of chip, board, and system‑level issues; support product certification and go‑to‑market activities.
Cross‑Functional Collaboration – Work hand‑in‑hand with software, firmware, and product teams to deliver a cohesive, high‑performance silicon solution.
Ideal candidates have/are:
Deep Hardware Design Expertise – 10+ years of proven experience in schematic capture, constraint management, and PCB layout for high‑speed, high‑density systems.
Signal Integrity & Power Delivery Mastery – Hands‑on experience with SerDes, PCIe, DDR, and power sub‑sections (POLs, VRMs, etc.).
Firmware & FPGA Proficiency – Comfortable writing Verilog for CPLDs/FPGAs and integrating firmware with hardware.
Lab‑Ready Debugging Skills – Proficient with oscilloscopes, logic analyzers, power analyzers, and other measurement tools to isolate and resolve complex hardware faults.
Team‑Oriented, Self‑Starter Mindset – Thrive in a collaborative environment, prioritize tasks under tight deadlines, and drive projects to completion with minimal oversight.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Perform detailed circuit design and analysis and component selection for cost-optimized solutions and ensure successful product development with aggressive product cycles.
Responsibilities & opportunities in this role:
Product‑Driven Design Leadership – Translate Product Requirement Documents (PRDs) into detailed board functional specifications, schematic capture, and PCB layout, ensuring every design decision aligns with the overall product strategy.
High‑Speed Interface Engineering – Architect and validate SerDes, PCIe, DDR, and other high‑bandwidth links, pushing the limits of signal integrity and timing closure.
Power Delivery & Sub‑Section Design – Design robust power rails (POLs, VRMs, etc.) that deliver clean, low‑noise supply to the GroqChip LPU while meeting stringent power budgets.
Low‑Speed Interface & Firmware Integration – Implement SPI, I²C, CAN‑bus, and other control buses, and interface them with CPLDs/FPGAs using Verilog to support board‑level control and diagnostics.
ASIC Bring‑Up & Validation – Lead the design of test boards for ASIC bring‑up and post‑silicon validation, debugging hardware and firmware issues in a lab environment.
Chassis & System Integration – Contribute to chassis design and multi‑system implementations, ensuring mechanical, thermal, and electrical compatibility across the product family.
Debug & Certification Support – Own end‑to‑end debugging of chip, board, and system‑level issues; support product certification and go‑to‑market activities.
Cross‑Functional Collaboration – Work hand‑in‑hand with software, firmware, and product teams to deliver a cohesive, high‑performance silicon solution.
Ideal candidates have/are:
Deep Hardware Design Expertise – 10+ years of proven experience in schematic capture, constraint management, and PCB layout for high‑speed, high‑density systems.
Signal Integrity & Power Delivery Mastery – Hands‑on experience with SerDes, PCIe, DDR, and power sub‑sections (POLs, VRMs, etc.).
Firmware & FPGA Proficiency – Comfortable writing Verilog for CPLDs/FPGAs and integrating firmware with hardware.
Lab‑Ready Debugging Skills – Proficient with oscilloscopes, logic analyzers, power analyzers, and other measurement tools to isolate and resolve complex hardware faults.
Team‑Oriented, Self‑Starter Mindset – Thrive in a collaborative environment, prioritize tasks under tight deadlines, and drive projects to completion with minimal oversight.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:52pm - 4:52pm CST
LocationHall 6
United States of America
Groq
In-person
Full Time
Similar Presentations
Staff Hardware Systems Engineer
·
Groq
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionMission:
The Staff Systems Engineer will play a critical role in shaping the future of Groq's hardware platforms, enabling state-of-the-art AI/ML workloads, and driving the development of the most advanced AI accelerator on the market. This role requires a unique blend of technical expertise, leadership skills, and collaboration abilities. The Staff Systems Engineer will guide design and architecture decisions, ensuring that they align with organizational objectives. The role will also involve collaborating with cross-functional teams to ensure seamless delivery of products, features, and enhancements.
Responsibilities & opportunities in this role:
Technical Leadership: Lead hardware‑systems design projects – guide design and architecture decisions that align with Groq’s strategic objectives.
Cross‑Functional Collaboration: Partner with Silicon Engineering, Data Center Operations, Cloud Infrastructure, Product Management, and Manufacturing Operations to ensure seamless delivery of products, features, and enhancements.
Project Management: Track defects/bugs throughout the project lifecycle and drive timely issue resolution.
Interconnect Solution Definition: Electro‑optical: backplanes, bulk‑power distribution, optical links, internal & external system interconnects. Thermo‑mechanical: macro‑system cooling solutions, integration, and interconnect. Coordinate design teams to achieve common, leveraged results.
Full‑Stack System Expertise: End‑to‑end troubleshooting and issue resolution. Deep understanding of design expectations and validation methods—from proof‑of‑concept to final product.
Team Enablement: Help teams isolate problems to the subsystem level and guide the entire group toward resolution when needed.
Technical Proficiency:
Electrical & power issues
Mechanical & thermal issues
Low‑level firmware & application‑layer software
Operating systems, performance testing, and tuning for optimization
Ideal candidates have/are:
8+ years of experience leading platform teams to delivery success
A Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, or a related field
Proficient in electrical and power issues, mechanical and thermal issues, low-level firmware, application layer software, operating systems, performance testing, and tuning for optimizations.
Problem-Solving & Debugging – Strong problem-solving and debugging skills, with the ability to troubleshoot and resolve complex hardware and firmware issues.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
The Staff Systems Engineer will play a critical role in shaping the future of Groq's hardware platforms, enabling state-of-the-art AI/ML workloads, and driving the development of the most advanced AI accelerator on the market. This role requires a unique blend of technical expertise, leadership skills, and collaboration abilities. The Staff Systems Engineer will guide design and architecture decisions, ensuring that they align with organizational objectives. The role will also involve collaborating with cross-functional teams to ensure seamless delivery of products, features, and enhancements.
Responsibilities & opportunities in this role:
Technical Leadership: Lead hardware‑systems design projects – guide design and architecture decisions that align with Groq’s strategic objectives.
Cross‑Functional Collaboration: Partner with Silicon Engineering, Data Center Operations, Cloud Infrastructure, Product Management, and Manufacturing Operations to ensure seamless delivery of products, features, and enhancements.
Project Management: Track defects/bugs throughout the project lifecycle and drive timely issue resolution.
Interconnect Solution Definition: Electro‑optical: backplanes, bulk‑power distribution, optical links, internal & external system interconnects. Thermo‑mechanical: macro‑system cooling solutions, integration, and interconnect. Coordinate design teams to achieve common, leveraged results.
Full‑Stack System Expertise: End‑to‑end troubleshooting and issue resolution. Deep understanding of design expectations and validation methods—from proof‑of‑concept to final product.
Team Enablement: Help teams isolate problems to the subsystem level and guide the entire group toward resolution when needed.
Technical Proficiency:
Electrical & power issues
Mechanical & thermal issues
Low‑level firmware & application‑layer software
Operating systems, performance testing, and tuning for optimization
Ideal candidates have/are:
8+ years of experience leading platform teams to delivery success
A Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, or a related field
Proficient in electrical and power issues, mechanical and thermal issues, low-level firmware, application layer software, operating systems, performance testing, and tuning for optimizations.
Problem-Solving & Debugging – Strong problem-solving and debugging skills, with the ability to troubleshoot and resolve complex hardware and firmware issues.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:52pm - 4:52pm CST
LocationHall 6
Groq
In-person
Full Time
Monday, 17 November 2025 4:52pm-4:53pm Hall 6
Senior Staff Compiler Engineer
·
Groq
·
Toronto, CA
Hide Details
SessionJob Postings
DescriptionMission:
As Senior Staff Compiler Engineer, you will be responsible for defining and developing compiler optimizations for our state-of-the-art compiler, targeting Groq's revolutionary LPU, the Language Processing Unit.
In this role you will drive the future of Groq's LPU compiler technology. You will be in charge of architecting new passes, developing innovative scheduling techniques, and developing new front-end language dialects to support the rapidly evolving ML space. You will also be required to benchmark and monitor key performance metrics to ensure that the compiler is producing efficient mappings of neural network graphs to the Groq LPU.
Ideal candidates have experience with LLVM and MLIR, and knowledge with functional programming languages an asset. Also, knowledge with ML frameworks such as TensorFlow and PyTorch, and portable graph models such as ONNX desired.
Responsibilities & opportunities in this role:
Compiler Architecture & Optimization: Lead the design, development, and maintenance of Groq’s optimizing compiler, building new passes and techniques that push the performance envelope on the LPU.
IR Expansion & ML Enablement: Extend Groq’s intermediate representation dialects to capture emerging ML constructs, portable graph models (e.g., ONNX), and evolving deep learning frameworks.
Performance & Benchmarking: Benchmark compiler outputs, diagnose inefficiencies, and drive enhancements to maximize quality-of-results on LPU hardware.
Cross-Disciplinary Collaboration: Partner with hardware architects and software leads to co-design compiler and system improvements that deliver measurable acceleration gains.
Leadership & Mentorship: Mentor junior engineers, review contributions, and guide large-scale, multi-geo compiler projects to completion.
Innovation & Impact: Publish novel compilation techniques and contribute thought leadership to top-tier ML, compiler, and computer architecture conferences.
Ideal candidates have/are:
8+ years of experience in the area of computer science/engineering or related
5+ years of direct experience with C/C++ and LLVM or compiler frameworks
Knowledge of spatial architectures such as FPGA or CGRAs an asset
Knowledge of functional programming an asset
Experience with ML frameworks such as TensorFlow or PyTorch desired
Knowledge of ML IR representations such as ONNX and Deep Learning
Additionally nice to have:
Strong initiative and personal drive, able to self-motivate and drive projects to closure
Keen attention to detail and high levels of conscientiousness
Strong written and oral communication; ability to write clear and concise technical documentation
Team first attitude, no egos
Leadership skills and ability to motivate peers
Optimistic Outlook, Coaching and mentoring ability
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
As Senior Staff Compiler Engineer, you will be responsible for defining and developing compiler optimizations for our state-of-the-art compiler, targeting Groq's revolutionary LPU, the Language Processing Unit.
In this role you will drive the future of Groq's LPU compiler technology. You will be in charge of architecting new passes, developing innovative scheduling techniques, and developing new front-end language dialects to support the rapidly evolving ML space. You will also be required to benchmark and monitor key performance metrics to ensure that the compiler is producing efficient mappings of neural network graphs to the Groq LPU.
Ideal candidates have experience with LLVM and MLIR, and knowledge with functional programming languages an asset. Also, knowledge with ML frameworks such as TensorFlow and PyTorch, and portable graph models such as ONNX desired.
Responsibilities & opportunities in this role:
Compiler Architecture & Optimization: Lead the design, development, and maintenance of Groq’s optimizing compiler, building new passes and techniques that push the performance envelope on the LPU.
IR Expansion & ML Enablement: Extend Groq’s intermediate representation dialects to capture emerging ML constructs, portable graph models (e.g., ONNX), and evolving deep learning frameworks.
Performance & Benchmarking: Benchmark compiler outputs, diagnose inefficiencies, and drive enhancements to maximize quality-of-results on LPU hardware.
Cross-Disciplinary Collaboration: Partner with hardware architects and software leads to co-design compiler and system improvements that deliver measurable acceleration gains.
Leadership & Mentorship: Mentor junior engineers, review contributions, and guide large-scale, multi-geo compiler projects to completion.
Innovation & Impact: Publish novel compilation techniques and contribute thought leadership to top-tier ML, compiler, and computer architecture conferences.
Ideal candidates have/are:
8+ years of experience in the area of computer science/engineering or related
5+ years of direct experience with C/C++ and LLVM or compiler frameworks
Knowledge of spatial architectures such as FPGA or CGRAs an asset
Knowledge of functional programming an asset
Experience with ML frameworks such as TensorFlow or PyTorch desired
Knowledge of ML IR representations such as ONNX and Deep Learning
Additionally nice to have:
Strong initiative and personal drive, able to self-motivate and drive projects to closure
Keen attention to detail and high levels of conscientiousness
Strong written and oral communication; ability to write clear and concise technical documentation
Team first attitude, no egos
Leadership skills and ability to motivate peers
Optimistic Outlook, Coaching and mentoring ability
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:52pm - 4:53pm CST
LocationHall 6
Groq
Remote
Full Time
Monday, 17 November 2025 4:53pm-4:53pm Hall 6
AI/Data Rotational Engineer
·
PennEngineering
·
Danboro
Hide Details
SessionJob Postings
DescriptionOverview:
At PennEngineering, we innovate and collaborate to make the world a better place. You can contribute to work that matters with a company where diversity, equity and belonging are shared values. We’re committed to fostering an environment for every employee that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
PennEngineering is seeking a motivated, excited, individual to be a part of Data and AI Rotational Program as an Associate Data Engineer located at our Global Headquarters in Danboro, PA.
As the Associate Data Engineer, you will work closely with our Information Services team and our Data & AI Special Ops Committee to rotate through (3) areas of our Data Group: Data Engineering, Data Visualization, and Data Science and Modeling. Your role will be to learn our approach to data in each specific group, with the objective of learning how to best support the design, development, and implementation of AI-driven solutions that optimize and enhance our business operations.
This rotational experience offers a unique opportunity to gain hands-on experience with data, apply AI techniques to real-world problems, and contribute to projects that improve efficiency, accuracy, and decision-making processes across different departments and ultimately driving innovative customer solutions. You will also gain experience working with our offshore development team. Upon graduating from the program, you will work as a Data Scientist, Data Engineer, or Visualization Engineer.
Please note this role will be primarily onsite in Danboro, PA.
Join us as we build the future in Manufacturing and Engineering!
Perks and Benefits:
• Medical & Employer Paid: Dental and Vision
• 401k and Employer Match
• Paid time off and holidays
• Tuition reimbursement
• Parental Leave
• Paid On the Job Training
• Performance incentive bonuses
• Community Volunteering
• Talent Referral Bonus Program
• Employee Centric Culture
• Company Provided Technology (laptop, phone, monitors for office and home environment)
• Onsite Gym
WHAT YOU WILL DO:
• Data Handling/Exploration: Collect, preprocess, and analyze large datasets to identify trends and patterns
• Model Development: Assist in developing machine learning models using relevant algorithms and techniques for regression, classification, time series, NLP, and clustering applications. In partnership with business teams perform customer behavior analysis, prospect valuation, and process optimization.
• Support AI Tool Development: Assist in the design, development, and implementation of AI-based solutions to enhance various company processes
• Collaboration: Work closely with cross functional teams to understand business problems/requirements and integrate AI solutions into existing workflows.
• Research: Stay updated with the latest advancements in AI and machine learning and suggest innovative techniques to improve tool performance.
• Documentation: Help maintain comprehensive documentation of AI/ML models, processes, and results for future reference and continuous improvement.
• Risk assessment: Contribute to organizational strategies for identifying and managing the risks of deploying AI and data applications for developers and end-users, especially pertaining to user experience and human factors
At PennEngineering, we innovate and collaborate to make the world a better place. You can contribute to work that matters with a company where diversity, equity and belonging are shared values. We’re committed to fostering an environment for every employee that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
PennEngineering is seeking a motivated, excited, individual to be a part of Data and AI Rotational Program as an Associate Data Engineer located at our Global Headquarters in Danboro, PA.
As the Associate Data Engineer, you will work closely with our Information Services team and our Data & AI Special Ops Committee to rotate through (3) areas of our Data Group: Data Engineering, Data Visualization, and Data Science and Modeling. Your role will be to learn our approach to data in each specific group, with the objective of learning how to best support the design, development, and implementation of AI-driven solutions that optimize and enhance our business operations.
This rotational experience offers a unique opportunity to gain hands-on experience with data, apply AI techniques to real-world problems, and contribute to projects that improve efficiency, accuracy, and decision-making processes across different departments and ultimately driving innovative customer solutions. You will also gain experience working with our offshore development team. Upon graduating from the program, you will work as a Data Scientist, Data Engineer, or Visualization Engineer.
Please note this role will be primarily onsite in Danboro, PA.
Join us as we build the future in Manufacturing and Engineering!
Perks and Benefits:
• Medical & Employer Paid: Dental and Vision
• 401k and Employer Match
• Paid time off and holidays
• Tuition reimbursement
• Parental Leave
• Paid On the Job Training
• Performance incentive bonuses
• Community Volunteering
• Talent Referral Bonus Program
• Employee Centric Culture
• Company Provided Technology (laptop, phone, monitors for office and home environment)
• Onsite Gym
WHAT YOU WILL DO:
• Data Handling/Exploration: Collect, preprocess, and analyze large datasets to identify trends and patterns
• Model Development: Assist in developing machine learning models using relevant algorithms and techniques for regression, classification, time series, NLP, and clustering applications. In partnership with business teams perform customer behavior analysis, prospect valuation, and process optimization.
• Support AI Tool Development: Assist in the design, development, and implementation of AI-based solutions to enhance various company processes
• Collaboration: Work closely with cross functional teams to understand business problems/requirements and integrate AI solutions into existing workflows.
• Research: Stay updated with the latest advancements in AI and machine learning and suggest innovative techniques to improve tool performance.
• Documentation: Help maintain comprehensive documentation of AI/ML models, processes, and results for future reference and continuous improvement.
• Risk assessment: Contribute to organizational strategies for identifying and managing the risks of deploying AI and data applications for developers and end-users, especially pertaining to user experience and human factors
RequirementsWHAT WE ARE LOOKING FOR:
Education: May 2026 graduate in either bachelor’s or preferably a master’s degree in one of the following areas: Computer Science, Computer Engineering, Artificial Intelligence, Data Science
Technical Skills:
• Proficiency in programming languages such as Python, R, and/or SQL.
• Basic knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, tidymodels, keras).
• Understanding of data preprocessing, feature engineering, and model evaluation techniques is helpful.
• Familiarity with cloud platforms (e.g., AWS, Azure) for deploying data solutions is a plus.
• Familiarity with relational and NoSQL databases.
• Proficiency with version control systems like Git is preferred.
• Experience in developing machine learning models is a plus, but not required
• Exposure to data visualization tools such as Qlik, Tableau, Power BI, or similar.
• Eagerness to learn and stay updated on emerging data science and AI technologies.
ADDITIONAL SKILLS THAT WILL HELP YOU BE SUCCESSFUL IN THIS ROLE:
• Ability to demonstrate problem-solving and analytical skills.
• Strong communication (verbal and written) and collaboration abilities.
• Detail-oriented with a focus on delivering high-quality solutions.
• Strategic Thinking: Ability to align AI initiatives with business goals and drive strategic outcomes.
• Innovative Mindset: Enthusiasm for exploring new AI technologies and methodologies to improve existing processes.
Our commitment to Diversity, Equity and Belonging (DEB) endeavors to create a safe space for all employees and customers, regardless of age, race, sex, gender identity, national origin, or religion. We lift up voices and opinions by creating a respectful work environment where difference is valued, and we are doing our part to build towards a greater society where diverse points of view are celebrated.
·
·
2025-11-17
Event Type
Job Posting
TimeMonday, 17 November 20254:53pm - 4:53pm CST
LocationHall 6
United States of America
PennEngineering
In-person
Full Time
Senior Manager, Technology Strategy
·
Arm
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionWe are seeking a driven and analytical AI Compute Strategy Analyst to join Arm’s Market Strategy Group! This role is focused on identifying, analyzing, and shaping the future of AI inference compute by examining how the AI technology stack is evolving, particularly in the context of emerging models, system architectures, and deployment trends across Horizon 2 and Horizon 3 timeframes.
This role is ideal for a technologist who is fluent in the evolving AI stack, understands the interplay between model design and system-level hardware demands, and can translate technical and market signals into clear, actionable strategy for Arm. The successful candidate will work closely with internal stakeholders across engineering, product, and commercial teams—as well as engage with external ecosystem partners, researchers, and innovators.
This role is ideal for a technologist who is fluent in the evolving AI stack, understands the interplay between model design and system-level hardware demands, and can translate technical and market signals into clear, actionable strategy for Arm. The successful candidate will work closely with internal stakeholders across engineering, product, and commercial teams—as well as engage with external ecosystem partners, researchers, and innovators.
RequirementsAnalyze emerging AI workloads, inference paradigms (e.g., reasoning models, deployment-time learning, memory-augmented inference), and their implications for compute architecture.
Track the evolution of the AI software stack (model serving, orchestration, tool use, streaming agents) and assess where hardware acceleration and system integration are most needed.
Investigate adoption drivers and structural gaps in the market across cloud, edge, and enterprise environments; recommend where and how Arm can strategically address them.
Produce high-quality strategic briefs, market insights, and opportunity framing documents that inform Arm’s technology roadmap.
Conduct ecosystem and competitive scans across AI accelerators, inference infrastructure, and adjacent compute domains.
Contribute to strategy workshops, scenario planning, and cross-functional working groups focused on Horizon 2 and Horizon 3 innovation themes.
Qualifications & Experience:
Strong understanding of the modern AI stack: from foundation models and inference engines to model orchestration and deployment frameworks (e.g., vLLM, TGI, LangChain, AutoGen).
Ability to evaluate how evolving AI techniques translate into system-level requirements (e.g., latency, memory, sparsity, determinism).
Technical familiarity with AI hardware (CPUs, NPUs, GPUs, custom accelerators) and their fit for emerging workloads.
Demonstrated experience analyzing market trends or building product/technology roadmaps in an AI-related domain.
Excellent written and verbal communication skills, with the ability to synthesize complex technical topics into executive-ready insights.
Strong collaboration mindset—comfortable working across technical, commercial, and research domains.
Preferred:
Prior experience in compute hardware, AI infrastructure, or systems architecture roles.
Hands-on experience with AI model serving or experimentation frameworks (e.g., Hugging Face, PyTorch, ONNX, MLPerf).
Exposure to Horizon 2/3 innovation methods (e.g., foresight, trend mapping, technology scouting).
Familiarity with open-source and commercial inference deployment ecosystems
Company DescriptionArm provides the industry’s most efficient and highest-performing compute platform, with more than 325 billion Arm-based devices shipped to date. The world's biggest technology companies, including AWS, Microsoft, Google, Meta, NVIDIA and Samsung, are innovating on Arm, all with a shared purpose of meeting the insatiable compute demand required to deliver the unprecedented capabilities and experiences that AI promises. Together with the world’s largest computing ecosystem and over 22 million software developers, we are achieving the impossible from cloud to edge by building the AI experiences of the future for everyone.
·
·
2025-11-17
Event Type
Job Posting
TimeMonday, 17 November 20254:53pm - 4:53pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Staff Board Power Architect
·
Arm
·
Austin, TX
Hide Details
SessionJob Postings
DescriptionLooking for your next career challenge? We seek an expert Power Engineer/Architect to join Arm’s Packaging, Boards and Multiphysics team. You will be involved with systems that incorporate Arm processors, focusing on platform power design and distribution for System-on-Chip (SoC). We are working at the forefront of embedded compute focusing on developing hardware platform prototypes to validate and demonstrate Arm's latest IP products.
RequirementsCollaborate with engineering teams across multiple geographies to specify, evaluate, analyze, and develop solutions for PCB and silicon package integration, focusing on driving the power design and distribution for platforms supporting Arm System-on-Chip (SoC) solutions. Architect, design, simulate, and optimize high-efficiency DC-DC power solutions such as multi-phase buck converters, VRMs, and PMICs for high-performance CPU/GPU platforms.
Perform schematic design, PCB layout reviews, and component selection to meet power delivery requirements including voltage ripple, transient response, and efficiency. Collaborate with cross-functional teams such as architects, electrical, thermal, layout, and SI/PI engineers on platform floor-planning studies and telemetry requirements.
Conduct PDN (Power Delivery Network) simulation and analysis to ensure power integrity. Work with multiple vendors and partners to ensure feature alignment and cost-optimized solutions. Validate and debug power solutions in the lab using oscilloscopes, electronic loads, and other instrumentation.
Document test reports, design specifications, and best practices for power solutions while staying current on industry trends in power electronics and energy-efficient technologies.
8+ years of experience in power distribution and design. Proficiency in DC-DC converter topologies (buck, boost, multiphase), PWM controllers, MOSFETs, and power stages, with knowledge of telemetry interfaces such as PMBus, SMBus, and AVBus. Experience using simulation tools including Simplis, SPICE, PowerDC, and Ansys SIWave. Strong knowledge of PCB layout considerations for power circuits, such as parasitic reduction. Skilled in PDN and PI analysis with familiarity in dynamic load testing and slamming techniques. Experienced with lab equipment such as oscilloscopes, spectrum analyzers, and power integrity test setups. Knowledgeable in EMI/EMC mitigation techniques for power designs and familiar with thermal management solutions for high-power-density systems. Demonstrates a problem-solving mindset and teamwork orientation.
Nice to have: Exposure to MCU-based or FPGA-based prototyping, or scripting using Python, MATLAB, or LabVIEW for automation. Experience using lab equipment such as oscilloscopes for measurement and optimization.
Company DescriptionArm provides the industry’s most efficient and highest-performing compute platform, with more than 325 billion Arm-based devices shipped to date. The world's biggest technology companies, including AWS, Microsoft, Google, Meta, NVIDIA and Samsung, are innovating on Arm, all with a shared purpose of meeting the insatiable compute demand required to deliver the unprecedented capabilities and experiences that AI promises. Together with the world’s largest computing ecosystem and over 22 million software developers, we are achieving the impossible from cloud to edge by building the AI experiences of the future for everyone.
·
·
2025-11-17
Event Type
Job Posting
TimeMonday, 17 November 20254:53pm - 4:53pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Monday, 17 November 2025 4:53pm-4:54pm Hall 6
IT Enterprise Architect
·
Texas A&M University
·
College Station
Hide Details
SessionJob Postings
DescriptionGlimpse of the Job and Opportunity to Contribute
Texas A&M University is hiring an Enterprise IT Architect for Artificial Intelligence. We are making a bold leap into the future with a $45 million investment in an NVIDIA DGX SuperPOD. This investment underscores our commitment to all Texas A&M Systems faculty, researchers, and graduate assistants. As an IT Enterprise Architect, you will provide technical expertise and consultation to faculty and researchers on how to leverage the Nvidia SuperPod to accomplish their research goals. You will be involved with design and program development, including planning, directing, and evaluating AI technology infrastructure and solutions. Just imagine the impact your contributions will have for your clients and beyond!
This position is security sensitive requiring U.S. Citizenship.
While technical skills are necessary, your consultative skills and curiosity for solving complex problems are what will set you apart. Ideally, you will have worked with faculty and/or researchers as part of your career. Looking for someone who is adaptable, works well with ambiguity and whose motivation is derived from helping others be successful!
What you need to know
Salary: $170,000 commensurate with education and experience
Location: In-person role in College Station, Texas
Schedule: This role may require working outside of standard office hours, including evenings, weekends, and holidays, to support the demands of technology services and ensure the seamless operation of essential systems.
Citizenship: Must be a United States citizen, permanent resident, or a person granted asylum or refugee status in accordance with 15 CFR, Part 762; 22 CFR §§122.5, 123.22 and 123.26; and 31 CFR § 501.601
Texas A&M University is hiring an Enterprise IT Architect for Artificial Intelligence. We are making a bold leap into the future with a $45 million investment in an NVIDIA DGX SuperPOD. This investment underscores our commitment to all Texas A&M Systems faculty, researchers, and graduate assistants. As an IT Enterprise Architect, you will provide technical expertise and consultation to faculty and researchers on how to leverage the Nvidia SuperPod to accomplish their research goals. You will be involved with design and program development, including planning, directing, and evaluating AI technology infrastructure and solutions. Just imagine the impact your contributions will have for your clients and beyond!
This position is security sensitive requiring U.S. Citizenship.
While technical skills are necessary, your consultative skills and curiosity for solving complex problems are what will set you apart. Ideally, you will have worked with faculty and/or researchers as part of your career. Looking for someone who is adaptable, works well with ambiguity and whose motivation is derived from helping others be successful!
What you need to know
Salary: $170,000 commensurate with education and experience
Location: In-person role in College Station, Texas
Schedule: This role may require working outside of standard office hours, including evenings, weekends, and holidays, to support the demands of technology services and ensure the seamless operation of essential systems.
Citizenship: Must be a United States citizen, permanent resident, or a person granted asylum or refugee status in accordance with 15 CFR, Part 762; 22 CFR §§122.5, 123.22 and 123.26; and 31 CFR § 501.601
RequirementsQualifications
-Bachelor’s degree in related field
- 10 years of related experience in information technology
A well-qualified candidate should possess one or more of the following:
Masters and Doctorate degree in the STEM field
15 years of related experience in information technology
At least 2 years of experience in AI systems
Experience developing, writing, being awarded, implementing, and administering NSF and NIH grants
Experience with managing teams that operate High Performance Computing and Storage systems and services
Experience with core IT security activities such as risk management, security architecture, communication and network security, identity and access management, and software development security
Knowledge, Skills, and Abilities
Effective verbal and written communication skills
Strong public speaking, organizational, leadership, and supervisory skills
Maintains attention to detail and utilizes sound judgment
Must be able to work in a collaborative team environment
Ability to multi-task and work cooperatively with people
Demonstrated ability using change and configuration management strategies
Demonstrated ability to build consensus amongst stakeholders
Ability to perform analysis of complex systems, including financial projections and cost modeling for computational systems
Knowledge of programming methods and techniques for parallel, GPU, and FPGA computation
Company DescriptionAt Texas A&M University, we stand to be the best for the world. Since 1876, Aggies have answered the call to lead with character and serve with compassion — for Texas, the nation and beyond.
Our research drives solutions that matter: from disaster preparedness and agriculture to immersive technology, robotics, leadership and civics. Our students leave prepared to create anything possible — equipped with knowledge, shaped by values and committed to serving for the good of our communities.
This is what it means to be an Aggie: to stand together as a force for good.
·
·
2025-11-18
Event Type
Job Posting
TimeMonday, 17 November 20254:53pm - 4:54pm CST
LocationHall 6
United States of America
Texas A&M University
In-person
Full Time
Monday, 17 November 2025 4:54pm-4:54pm Hall 6
Senior Machine Learning Engineer, Post Training & Speculative Decoding
·
Groq
·
Toronto, CA
Hide Details
SessionJob Postings
DescriptionMission:
We are seeking a highly skilled Machine Learning Engineer to join our advanced model development team. This role focuses on pre-training, continued training, and post-training of models, with a particular emphasis on draft model optimization for speculative decoding and quantization-aware training (QAT). The ideal candidate has deep experience with training methodologies, open-weight models, and performance-tuning for inference.
Responsibilities & opportunities in this role:
Lead pre-training and post-training efforts for draft models tailored to speculative decoding architectures.
Conduct continued training and post-training of open-weight models for non-draft (standard) inference scenarios.
Implement and optimize quantization-aware training pipelines to enable low-precision inference with minimal accuracy loss.
Collaborate with model architecture, inference, and systems teams to evaluate model readiness across training and deployment stages.
Develop tooling and evaluation metrics for training effectiveness, draft model fidelity, and speculative hit-rate optimization.
Contribute to experimental designs for novel training regimes and speculative decoding strategies.
Ideal candidates have/are:
5+ years of experience in machine learning, with a strong focus on model training.
Proven experience with transformer-based architectures (e.g., LLaMA, Mistral, Gemma).
Deep understanding of speculative decoding and draft model usage.
Hands-on experience with quantization-aware training, including PyTorch QAT workflows or similar frameworks.
Familiarity with open-weight foundation models and continued/pre-training techniques.
Proficient in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
Preferred Qualifications:
Experience optimizing models for fast inference and sampling in production environments.
Exposure to distributed training, low-level kernel optimizations, and inference-time system constraints.
Publications or contributions to open-source ML projects.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
We are seeking a highly skilled Machine Learning Engineer to join our advanced model development team. This role focuses on pre-training, continued training, and post-training of models, with a particular emphasis on draft model optimization for speculative decoding and quantization-aware training (QAT). The ideal candidate has deep experience with training methodologies, open-weight models, and performance-tuning for inference.
Responsibilities & opportunities in this role:
Lead pre-training and post-training efforts for draft models tailored to speculative decoding architectures.
Conduct continued training and post-training of open-weight models for non-draft (standard) inference scenarios.
Implement and optimize quantization-aware training pipelines to enable low-precision inference with minimal accuracy loss.
Collaborate with model architecture, inference, and systems teams to evaluate model readiness across training and deployment stages.
Develop tooling and evaluation metrics for training effectiveness, draft model fidelity, and speculative hit-rate optimization.
Contribute to experimental designs for novel training regimes and speculative decoding strategies.
Ideal candidates have/are:
5+ years of experience in machine learning, with a strong focus on model training.
Proven experience with transformer-based architectures (e.g., LLaMA, Mistral, Gemma).
Deep understanding of speculative decoding and draft model usage.
Hands-on experience with quantization-aware training, including PyTorch QAT workflows or similar frameworks.
Familiarity with open-weight foundation models and continued/pre-training techniques.
Proficient in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
Preferred Qualifications:
Experience optimizing models for fast inference and sampling in production environments.
Exposure to distributed training, low-level kernel optimizations, and inference-time system constraints.
Publications or contributions to open-source ML projects.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:54pm - 4:54pm CST
LocationHall 6
Groq
Remote
Full Time
Staff Software Engineer, Streaming Systems
·
Groq
·
Palo Alto, CA
Hide Details
SessionJob Postings
DescriptionMission:
Design and build the real-time data infrastructure that powers GroqCloud’s global revenue engine, processing hundreds of billions of events each day, sustaining millions of writes per second, and enabling a multi-billion-dollar business to operate in real time. Drive the intelligence layer that fuels global billing, analytics, and real-time business operations at worldwide scale.
Responsibilities & opportunities in this role:
Architect high-performance data pipelines to ingest, process, and transform millions of structured and semi-structured events daily.
Build distributed, fault-tolerant frameworks for streaming data from diverse sources.
Create data services and APIs that make usage and billing data easily accessible across the platform.
Develop lightweight tools and dashboards to monitor and visualize data ingestion, throughput, and system health.
Ideal candidates have/are:
Strong background in real-time data processing, distributed systems, and analytics infrastructure.
Hands-on experience with streaming technologies such as Kafka, Flink, Spark Streaming, or Redpanda and real-time analytics databases such as Clickhouse, Druid, or Pinot.
Deep understanding of serialization, buffering, and data flow optimization in high-throughput systems.
Bonus points:
Experience deploying and managing workloads on Kubernetes.
A passion for systems performance, profiling, and low-latency optimization.
Familiarity with gRPC and RESTful API design.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Design and build the real-time data infrastructure that powers GroqCloud’s global revenue engine, processing hundreds of billions of events each day, sustaining millions of writes per second, and enabling a multi-billion-dollar business to operate in real time. Drive the intelligence layer that fuels global billing, analytics, and real-time business operations at worldwide scale.
Responsibilities & opportunities in this role:
Architect high-performance data pipelines to ingest, process, and transform millions of structured and semi-structured events daily.
Build distributed, fault-tolerant frameworks for streaming data from diverse sources.
Create data services and APIs that make usage and billing data easily accessible across the platform.
Develop lightweight tools and dashboards to monitor and visualize data ingestion, throughput, and system health.
Ideal candidates have/are:
Strong background in real-time data processing, distributed systems, and analytics infrastructure.
Hands-on experience with streaming technologies such as Kafka, Flink, Spark Streaming, or Redpanda and real-time analytics databases such as Clickhouse, Druid, or Pinot.
Deep understanding of serialization, buffering, and data flow optimization in high-throughput systems.
Bonus points:
Experience deploying and managing workloads on Kubernetes.
A passion for systems performance, profiling, and low-latency optimization.
Familiarity with gRPC and RESTful API design.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:54pm - 4:54pm CST
LocationHall 6
Groq
In-person
Full Time
Monday, 17 November 2025 4:54pm-4:55pm Hall 6
Performance Modeling Engineer
·
Groq
·
Remote, USA
Hide Details
SessionJob Postings
DescriptionMission:
Performance modeling of Groq systems on state-of-the-art AI/ML workloads, identify bottlenecks early and guide future hardware development of the most advanced AI accelerator on the market.
Responsibilities & opportunities in this role:
Develop and maintain performance models for multiple generations of Groq hardware on the latest AI/ML workloads (LLMs, CNNs, LSTMs, etc.)
Analyze AI/ML algorithms to understand their compute, networking and memory requirements, and map them effectively onto the underlying hardware architecture
Lead a matrixed team to enable SW/HW co-optimization across chip, system and software teams
Identify performance bottlenecks and help drive next generation chip architecture through a solid understanding of Groq's software and hardware
Work with silicon and system integration engineers to evaluate the costs & benefits of new technologies on Groq systems
Provide what-if scenarios / continuous guidance directly to CEO & senior leadership
Develop the Design Space Exploration (DSE) tool for performance analysis and exploration of both chip and system across various workloads
Define custom hardware solutions for high profile customers
Ideal candidates have/are:
Computer science, mathematics, ECE or equivalent background and/or experience in this domain
Strong fundamentals in computer architecture, with deep knowledge and experience of working on domain specific AI architectures, is highly preferred
In-depth understanding of latest AI/ML algorithms and their hardware implications
Ability to analyze and simplify complex hardware designs into simple abstracted timing models
Past experience on modeling AI/ML workloads, and creating necessary tools for performance optimization. Experience with modeling LLM performance is beneficial, but not required
Proficient in programming languages such as C/C++ and Python
Experience with cycle-accurate simulators for benchmarking analysis
Experience with developing ASIC microarchitecture design is a plus
Experience with understanding and simulating RTL (systemVerilog) designs is a plus
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Performance modeling of Groq systems on state-of-the-art AI/ML workloads, identify bottlenecks early and guide future hardware development of the most advanced AI accelerator on the market.
Responsibilities & opportunities in this role:
Develop and maintain performance models for multiple generations of Groq hardware on the latest AI/ML workloads (LLMs, CNNs, LSTMs, etc.)
Analyze AI/ML algorithms to understand their compute, networking and memory requirements, and map them effectively onto the underlying hardware architecture
Lead a matrixed team to enable SW/HW co-optimization across chip, system and software teams
Identify performance bottlenecks and help drive next generation chip architecture through a solid understanding of Groq's software and hardware
Work with silicon and system integration engineers to evaluate the costs & benefits of new technologies on Groq systems
Provide what-if scenarios / continuous guidance directly to CEO & senior leadership
Develop the Design Space Exploration (DSE) tool for performance analysis and exploration of both chip and system across various workloads
Define custom hardware solutions for high profile customers
Ideal candidates have/are:
Computer science, mathematics, ECE or equivalent background and/or experience in this domain
Strong fundamentals in computer architecture, with deep knowledge and experience of working on domain specific AI architectures, is highly preferred
In-depth understanding of latest AI/ML algorithms and their hardware implications
Ability to analyze and simplify complex hardware designs into simple abstracted timing models
Past experience on modeling AI/ML workloads, and creating necessary tools for performance optimization. Experience with modeling LLM performance is beneficial, but not required
Proficient in programming languages such as C/C++ and Python
Experience with cycle-accurate simulators for benchmarking analysis
Experience with developing ASIC microarchitecture design is a plus
Experience with understanding and simulating RTL (systemVerilog) designs is a plus
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:54pm - 4:55pm CST
LocationHall 6
United States of America
Groq
Remote
Full Time
Monday, 17 November 2025 4:55pm-4:55pm Hall 6
Research Engineer
·
Groq
·
United Kingdom
Hide Details
SessionJob Postings
DescriptionResearch Engineer - Novel AI applications and Next Generation Hardware
Mission:
You will join the hardware team with the goal of supporting novel application areas and AI modes beyond current use cases. Responsibilities include researching the evolving landscape of AI applications and models, analyzing underlying model architectures, and building implementations on Groq. Further responsibilities include analyzing mappings to existing and future hardware, modeling performance, and working cross-functionally with the hardware design team on novel hardware features e.g. functional units, numeric modes, interconnect, system integration, etc to unlock novel application areas for Groq. There will be opportunities to participate in a wider range of R&D activities, either internally or externally with key Groq partners.
Responsibilities & opportunities in this role:
AI application and model research
Performance modeling
Cross-functional work with hardware and software teams
Next generation hardware architecture development
Support internal and outward-facing R&D
Ideal candidates have/are:
Strong foundation in computer science
Experience with AI models and applications
Knowledge of LLMs and other Gen AI applications
Strong foundation in computer architecture and computer arithmetic
Python and common ML frameworks such as PyTorch & TensorFlow
Experience with performance analysis / modelling
Problem solving mindset
Nice to Have:
Experience with scientific computing & HPC
Experience in optimizing applications on specialized accelerators (GPU, FPGA, or other custom accelerators).
Experience with compiler tools and MLIR.
Experience in delivering complex projects in a fast-moving environment.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Mission:
You will join the hardware team with the goal of supporting novel application areas and AI modes beyond current use cases. Responsibilities include researching the evolving landscape of AI applications and models, analyzing underlying model architectures, and building implementations on Groq. Further responsibilities include analyzing mappings to existing and future hardware, modeling performance, and working cross-functionally with the hardware design team on novel hardware features e.g. functional units, numeric modes, interconnect, system integration, etc to unlock novel application areas for Groq. There will be opportunities to participate in a wider range of R&D activities, either internally or externally with key Groq partners.
Responsibilities & opportunities in this role:
AI application and model research
Performance modeling
Cross-functional work with hardware and software teams
Next generation hardware architecture development
Support internal and outward-facing R&D
Ideal candidates have/are:
Strong foundation in computer science
Experience with AI models and applications
Knowledge of LLMs and other Gen AI applications
Strong foundation in computer architecture and computer arithmetic
Python and common ML frameworks such as PyTorch & TensorFlow
Experience with performance analysis / modelling
Problem solving mindset
Nice to Have:
Experience with scientific computing & HPC
Experience in optimizing applications on specialized accelerators (GPU, FPGA, or other custom accelerators).
Experience with compiler tools and MLIR.
Experience in delivering complex projects in a fast-moving environment.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:55pm - 4:55pm CST
LocationHall 6
Groq
In-person
Full Time
Senior Staff Design Automation Engineer
·
Groq
·
Palo Alto, CA
Hide Details
SessionJob Postings
DescriptionMission:
The Hardware Infrastructure team in Groq is responsible for architecting and supporting a world class ASIC development and verification environment that optimizes the productivity of our hardware engineering team.
Responsibilities & opportunities in this role:
Architect, develop, and deploy an innovative framework that enables automation of the Groq silicon design flow.
Collaborate with the silicon design team to migrate the Groq hardware code base into a form that facilitates dynamic scaling and feature management.
Engage with software teams to define and deliver configuration-specific collateral that streamlines co-development.
Investigate new and novel ways to accelerate verification and physical design of the generated designs, leveraging AI/ML approaches where possible.
Investigate opportunities to more closely align hardware, software and production flows.
Ideal candidates have/are:
Bachelor’s or Master’s degree in Computer or Electrical Engineering
A solid background in ASIC/FPGA hardware (5+ years in design, verification, or EDA/CAD experience).
Industry-proven software design experience (hardware modeling, applications development, compiler development).
Strong scripting skills (Python, PERL, etc.).
Previous experience with meta-programming approaches would be an asset.
Experience with physical design methodologies and flows would be an asset.
Strong team player with excellent verbal and written communication skills.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
The Hardware Infrastructure team in Groq is responsible for architecting and supporting a world class ASIC development and verification environment that optimizes the productivity of our hardware engineering team.
Responsibilities & opportunities in this role:
Architect, develop, and deploy an innovative framework that enables automation of the Groq silicon design flow.
Collaborate with the silicon design team to migrate the Groq hardware code base into a form that facilitates dynamic scaling and feature management.
Engage with software teams to define and deliver configuration-specific collateral that streamlines co-development.
Investigate new and novel ways to accelerate verification and physical design of the generated designs, leveraging AI/ML approaches where possible.
Investigate opportunities to more closely align hardware, software and production flows.
Ideal candidates have/are:
Bachelor’s or Master’s degree in Computer or Electrical Engineering
A solid background in ASIC/FPGA hardware (5+ years in design, verification, or EDA/CAD experience).
Industry-proven software design experience (hardware modeling, applications development, compiler development).
Strong scripting skills (Python, PERL, etc.).
Previous experience with meta-programming approaches would be an asset.
Experience with physical design methodologies and flows would be an asset.
Strong team player with excellent verbal and written communication skills.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:55pm - 4:55pm CST
LocationHall 6
Groq
Remote
Full Time
Similar Presentations
Senior Technology Manager
·
ARM
·
Austin
Hide Details
SessionJob Postings
DescriptionArm’s Central Technology (CT) organization is seeking a Technology Manager to lead requirements and roadmap development for Arm’s infrastructure subsystem IP — including interconnect (CMN, NoC), memory products, control (GIC, MMU), and debug, Embedded Logic Analyzer, Coresight) technologies.
While the initial emphasis is on server and networking Infrastructure, this role spans multiple business lines — ensuring that the subsystem technologies defined within CT are reusable and driven across Automotive, IoT/EdgeAI, and Client applications.
You will work closely with engineering, architecture, product, and partner teams to translate market needs into technical direction, maintain subsystem roadmaps, and validate them through engagement with internal and external partners.
Responsibilities:
Develop and maintain technical requirements and multi-year technology roadmaps for interconnect, memory, and system IP components!
Define long-term evolution plans for Arm’s next-generation interconnect, ensuring alignment with Infrastructure and cross-market needs.
Partner with Product Management and Business Lines to align subsystem technology development with solution-level roadmaps.
Collaborate with IP and implementation engineering teams to ensure technology definitions are practical and implementation-ready for partner use.
Engage with customers and ecosystem partners to validate roadmap assumptions and collect technical feedback.
Identify market and competitive trends that inform the direction of interconnect and system IP evolution.
Coordinate with program and technical leads to align dependencies, schedules, and breakthroughs across CE, CT, SE, and business lines.
Chip in to technology planning processes and improvements across the Technology Management function.
Required Skills and Experience :
Shown experience in interconnect, memory, or SoC subsystem design and integration.
Strong understanding of system IP (Coherent Mesh fabric, NoC, MMU, GIC, memory controllers, PCIe, Debug). Understanding of SoC boot flow, D2D, security.
Experience developing or supporting SoC-level design and integration flows.
Validated ability to define requirements and lead technical trade-offs across IPs.
Clear and concise communicator able to interface effectively with architects and engineering teams.
“Nice To Have” Skills and Experience :
Experience developing or maintaining roadmaps for interconnect or memory subsystem IP.
Knowledge of coherency protocols, LPDDR, and on-chip fabric standards.
Familiarity with performance analysis or verification methodologies for large subsystems.
Cross-domain experience applying server/networking tech to Automotive or EdgeAI systems.
In Return:
You will develop the roadmap for Arm’s core interconnect and control subsystems, ensuring they are strategically aligned and technically validated across markets. While the initial focus is infrastructure, you will work across line of business and customers to ensure these foundational technologies are robust, driven, and reusable across Arm’s diverse product portfolio. Your ownership of requirement specs and roadmap rigor will ensure subsystem coherence across product generations — enabling Arm to scale from IP to complete system solutions.
Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work:https://careers.arm.com/en/10x-mindset
While the initial emphasis is on server and networking Infrastructure, this role spans multiple business lines — ensuring that the subsystem technologies defined within CT are reusable and driven across Automotive, IoT/EdgeAI, and Client applications.
You will work closely with engineering, architecture, product, and partner teams to translate market needs into technical direction, maintain subsystem roadmaps, and validate them through engagement with internal and external partners.
Responsibilities:
Develop and maintain technical requirements and multi-year technology roadmaps for interconnect, memory, and system IP components!
Define long-term evolution plans for Arm’s next-generation interconnect, ensuring alignment with Infrastructure and cross-market needs.
Partner with Product Management and Business Lines to align subsystem technology development with solution-level roadmaps.
Collaborate with IP and implementation engineering teams to ensure technology definitions are practical and implementation-ready for partner use.
Engage with customers and ecosystem partners to validate roadmap assumptions and collect technical feedback.
Identify market and competitive trends that inform the direction of interconnect and system IP evolution.
Coordinate with program and technical leads to align dependencies, schedules, and breakthroughs across CE, CT, SE, and business lines.
Chip in to technology planning processes and improvements across the Technology Management function.
Required Skills and Experience :
Shown experience in interconnect, memory, or SoC subsystem design and integration.
Strong understanding of system IP (Coherent Mesh fabric, NoC, MMU, GIC, memory controllers, PCIe, Debug). Understanding of SoC boot flow, D2D, security.
Experience developing or supporting SoC-level design and integration flows.
Validated ability to define requirements and lead technical trade-offs across IPs.
Clear and concise communicator able to interface effectively with architects and engineering teams.
“Nice To Have” Skills and Experience :
Experience developing or maintaining roadmaps for interconnect or memory subsystem IP.
Knowledge of coherency protocols, LPDDR, and on-chip fabric standards.
Familiarity with performance analysis or verification methodologies for large subsystems.
Cross-domain experience applying server/networking tech to Automotive or EdgeAI systems.
In Return:
You will develop the roadmap for Arm’s core interconnect and control subsystems, ensuring they are strategically aligned and technically validated across markets. While the initial focus is infrastructure, you will work across line of business and customers to ensure these foundational technologies are robust, driven, and reusable across Arm’s diverse product portfolio. Your ownership of requirement specs and roadmap rigor will ensure subsystem coherence across product generations — enabling Arm to scale from IP to complete system solutions.
Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work:https://careers.arm.com/en/10x-mindset
·
·
2025-11-18
Event Type
Job Posting
TimeMonday, 17 November 20254:55pm - 4:55pm CST
LocationHall 6
United States of America
ARM
In-person
Full Time
Monday, 17 November 2025 4:55pm-4:56pm Hall 6
Senior Staff Formal Verification Engineer
·
Groq
·
Palo Alto, CA
Hide Details
SessionJob Postings
DescriptionMission:
This position will focus on formal verification of Groq’s next generation hardware. Through this work term, the successful candidate will work alongside experienced engineers to help verify complex digital designs using formal verification techniques and tools. You will be involved in tasks ranging from setting up formal verification environments, running automated checks, debugging formal proofs, and supporting the integration of formal verification tools into the overall verification flow.
Responsibilities & opportunities in this role:
Verify hardware features of Language Process Unit (LPU).
Cross-functional Collaboration: Partner with architecture/RTL teams to specify properties, resolve deep design issues, and influence micro-architecture decisions.
Formal verification execution:
Leverage and unleash the power of formal verification to rigorously verify critical design properties and ensure compliance with specifications, as well as minimize spec ambiguities.
Debug findings and collaborate with stakeholders in an efficient manner.
Support silicon bring-up and debug using formal methods where it applies.
Methodology Leadership: Develop and implement advanced formal verification environments and methodologies for complex ASIC designs, including automated flows for scalability and efficiency.
Mentorship: Train and coach junior engineers on formal techniques and best practices; Help on methodology/FAQ documentation.
Innovate. Contribute to developing future verification strategies for validating future accelerator chips and hardware architectures for ML workloads.
Ideal candidates have/are:
BS degree in electrical engineering, or related fields, or equivalent practical experience; advance degrees (MS or PhD) is a plus
8+ years in ASIC verification with 5+ years focused on formal verification methods
Mastery of SystemVerilog Assertions (SVA) and formal property verification
Proficient on at least one popular formal verification tools in the industry(JapserGold, VC Formal, etc.)
Strong analytical skills and attention to detail when debugging complex issues
Good scripting skills for flow automation(tcl, python, etc.)
Good written and oral communication skills
Must be authorized to work in the United States or Canada
Proven success in full-cycle formal sign-off for complex compute blocks
Expertise in formal apps: sequential equivalence checks, datapath, connectivity, etc.
Deep understanding of LPU or GPU architecture/design
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
This position will focus on formal verification of Groq’s next generation hardware. Through this work term, the successful candidate will work alongside experienced engineers to help verify complex digital designs using formal verification techniques and tools. You will be involved in tasks ranging from setting up formal verification environments, running automated checks, debugging formal proofs, and supporting the integration of formal verification tools into the overall verification flow.
Responsibilities & opportunities in this role:
Verify hardware features of Language Process Unit (LPU).
Cross-functional Collaboration: Partner with architecture/RTL teams to specify properties, resolve deep design issues, and influence micro-architecture decisions.
Formal verification execution:
Leverage and unleash the power of formal verification to rigorously verify critical design properties and ensure compliance with specifications, as well as minimize spec ambiguities.
Debug findings and collaborate with stakeholders in an efficient manner.
Support silicon bring-up and debug using formal methods where it applies.
Methodology Leadership: Develop and implement advanced formal verification environments and methodologies for complex ASIC designs, including automated flows for scalability and efficiency.
Mentorship: Train and coach junior engineers on formal techniques and best practices; Help on methodology/FAQ documentation.
Innovate. Contribute to developing future verification strategies for validating future accelerator chips and hardware architectures for ML workloads.
Ideal candidates have/are:
BS degree in electrical engineering, or related fields, or equivalent practical experience; advance degrees (MS or PhD) is a plus
8+ years in ASIC verification with 5+ years focused on formal verification methods
Mastery of SystemVerilog Assertions (SVA) and formal property verification
Proficient on at least one popular formal verification tools in the industry(JapserGold, VC Formal, etc.)
Strong analytical skills and attention to detail when debugging complex issues
Good scripting skills for flow automation(tcl, python, etc.)
Good written and oral communication skills
Must be authorized to work in the United States or Canada
Proven success in full-cycle formal sign-off for complex compute blocks
Expertise in formal apps: sequential equivalence checks, datapath, connectivity, etc.
Deep understanding of LPU or GPU architecture/design
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:55pm - 4:56pm CST
LocationHall 6
Groq
Remote
Full Time
Monday, 17 November 2025 4:56pm-4:56pm Hall 6
Senior Staff HW EDA Infrastructure/Methodology Engineer
·
Groq
·
Remote, USA
Hide Details
SessionJob Postings
DescriptionMission:
We are seeking an experienced engineer to drive the next-generation infrastructure, methodology, and automation that will accelerate our ASIC design cycle. In this role, you will establish best-in-class flows, apply advanced AI/ML techniques to complex design and sign-off challenges, and develop robust tooling that reduces time-to-tapeout while enhancing quality of results (QoR).
Responsibilities & opportunities in this role:
Own ASIC methodology end-to-end: Define and evolve Architectural Modeling → RTL → Design Verification → gates → P&R → sign-off flows.
Lead AI-driven methodology across the full ASIC lifecycle: Define the strategy, roadmap, and guardrails for applying AI/ML from architectural investigation through post-silicon, with measurable positive impacts on schedule, cost, and QoR.
Automate for speed and reproducibility: Build robust pipelines for build/test/run, artifact tracking, and results triage; make one-click “from RTL to sign-off” flows standard.
Scale compute and data: Design farm orchestration for thousands of concurrent jobs, manage license usage, cache, and distributed storage for large design datasets.
Make results visible: Create dashboards and alerts for QoR trends, regressions, and SLA adherence; enable data-driven design decisions.
Partner across teams: Collaborate with RTL, DV, PD, DFT, verification, and CAD to land new methods, support tapeout, and drive continuous improvement.
Collaborate with software engineering to elevate hardware methodology: Partner with platform, SRE, and tooling teams to apply software best practices for robust, scalable, and developer-friendly ASIC design workflows.
Ideal candidates have/are:
7+ years building and maintaining ASIC flows in production (from RTL through sign-off) with proven tapeout experience.
Deep knowledge of at least two EDA domains: simulation, hardware emulation, logic synthesis, P&R, STA, formal/equiv, CDC/RDC, DFT/ATPG, physical verification, or power sign-off.
Strong coding skills in Python and one of Tcl/C++; rigorous software practices (version control, code review, testing).
Experience building CI/CD style automation for hardware (e.g., Jenkins/GitHub Actions, BuildKite, Bazel, containers).
Comfortable with Linux at scale and job schedulers (e.g., LSF/Slurm/Kubernetes).
Ability to translate engineer pain points into reliable tools with excellent UX and documentation.
Preferred qualifications
Hands-on experience with Synopsys (VCS/Verdi), Cadence (Genus/Innovus/Tempus/Jasper) EDA tools.
Practical ML experience (PyTorch/JAX/scikit-learn) and MLOps basics (feature/log pipelines, experiment tracking).
Data engineering for EDA: metrics schemas, results warehousing (PostgreSQL/BigQuery), dashboarding (Grafana), and anomaly detection.
Cloud HPC (AWS/GCP/Azure) for bursty EDA workloads; cost and license optimization.
Power intent and low-power methodology (UPF/CPF), multi-corner multi-mode closure experience.
Prior success introducing new methodology across multiple projects/teams.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
We are seeking an experienced engineer to drive the next-generation infrastructure, methodology, and automation that will accelerate our ASIC design cycle. In this role, you will establish best-in-class flows, apply advanced AI/ML techniques to complex design and sign-off challenges, and develop robust tooling that reduces time-to-tapeout while enhancing quality of results (QoR).
Responsibilities & opportunities in this role:
Own ASIC methodology end-to-end: Define and evolve Architectural Modeling → RTL → Design Verification → gates → P&R → sign-off flows.
Lead AI-driven methodology across the full ASIC lifecycle: Define the strategy, roadmap, and guardrails for applying AI/ML from architectural investigation through post-silicon, with measurable positive impacts on schedule, cost, and QoR.
Automate for speed and reproducibility: Build robust pipelines for build/test/run, artifact tracking, and results triage; make one-click “from RTL to sign-off” flows standard.
Scale compute and data: Design farm orchestration for thousands of concurrent jobs, manage license usage, cache, and distributed storage for large design datasets.
Make results visible: Create dashboards and alerts for QoR trends, regressions, and SLA adherence; enable data-driven design decisions.
Partner across teams: Collaborate with RTL, DV, PD, DFT, verification, and CAD to land new methods, support tapeout, and drive continuous improvement.
Collaborate with software engineering to elevate hardware methodology: Partner with platform, SRE, and tooling teams to apply software best practices for robust, scalable, and developer-friendly ASIC design workflows.
Ideal candidates have/are:
7+ years building and maintaining ASIC flows in production (from RTL through sign-off) with proven tapeout experience.
Deep knowledge of at least two EDA domains: simulation, hardware emulation, logic synthesis, P&R, STA, formal/equiv, CDC/RDC, DFT/ATPG, physical verification, or power sign-off.
Strong coding skills in Python and one of Tcl/C++; rigorous software practices (version control, code review, testing).
Experience building CI/CD style automation for hardware (e.g., Jenkins/GitHub Actions, BuildKite, Bazel, containers).
Comfortable with Linux at scale and job schedulers (e.g., LSF/Slurm/Kubernetes).
Ability to translate engineer pain points into reliable tools with excellent UX and documentation.
Preferred qualifications
Hands-on experience with Synopsys (VCS/Verdi), Cadence (Genus/Innovus/Tempus/Jasper) EDA tools.
Practical ML experience (PyTorch/JAX/scikit-learn) and MLOps basics (feature/log pipelines, experiment tracking).
Data engineering for EDA: metrics schemas, results warehousing (PostgreSQL/BigQuery), dashboarding (Grafana), and anomaly detection.
Cloud HPC (AWS/GCP/Azure) for bursty EDA workloads; cost and license optimization.
Power intent and low-power methodology (UPF/CPF), multi-corner multi-mode closure experience.
Prior success introducing new methodology across multiple projects/teams.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:56pm - 4:56pm CST
LocationHall 6
Groq
Remote
Full Time
Staff DFT Engineer
·
Groq
·
Remote, USA
Hide Details
SessionJob Postings
DescriptionMission:
As a Staff DFT Engineer, you will be responsible to enable Groq’s next‑generation LPU by designing, integrating, and validating cutting‑edge DFT solutions.
Responsibilities & opportunities in this role:
Build & Own End‑to‑End DFT Flow: Design a production‑ready DFT flow from scratch, select tools from an industry‑leading EDA partner , create reusable templates, scripts, and best‑practice guidelines.
RTL DFT DRC & Optimization: Run DFT DRC on RTL blocks, propose fixes, and deliver RTL that meets timing, area, and power targets.
Timing Closure & Sign‑off: Write DFT‑specific timing constraints, work with physical design to close timing in test mode, and sign off test‑mode constraints.
Test Vector Development: Generate ATPG, IJTAG, and MBIST vectors; run RTL and gate‑level simulations to achieve high coverage and verify functional path exercise.
Post‑Silicon Bring‑up: Partner with silicon validation teams to run patterns on silicon, troubleshoot ATE issues, and streamline validation cycles.
Automation & Workflow Improvement: Identify bottlenecks, develop Tcl/Python automation, and integrate new tools to reduce manual effort and boost productivity.
Documentation & Knowledge Transfer: Maintain version‑controlled DFT documentation, create a “DFT playbook,” and lead knowledge‑sharing sessions.
Ideal candidates have/are:
Bachelor's or Master's degree in Electrical Engineering or Computer Engineering.
8+ years of industry experience with Design for Test (DFT) for high-performance ASICs.
Proven hands‑on experience with industry‑leading DFT tools, techniques and methodologies for large SOC/ASIC designs.
Expert in core DFT techniques: ATPG, scan compression, MBIST, IJTAG, IEEE -1500, Logic BIST, test‑pattern translation, and yield learning.
Experience with UDFM’s such as Cell Aware and Small Delay Defect.
Experience in ATPG Streaming SCAN Network (SSN) implementation.
Strong timing‑analysis, constraint sign‑off, and gate‑level simulation skills; adept at debugging DFT patterns on real silicon and ATE.
Strong knowledge of RTL to GDS methodologies and formal equivalence.
Excellent coding skills in Tcl and Python.
Strong interpersonal and organizational skills.
Ability and desire to work effectively as part of a team.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
As a Staff DFT Engineer, you will be responsible to enable Groq’s next‑generation LPU by designing, integrating, and validating cutting‑edge DFT solutions.
Responsibilities & opportunities in this role:
Build & Own End‑to‑End DFT Flow: Design a production‑ready DFT flow from scratch, select tools from an industry‑leading EDA partner , create reusable templates, scripts, and best‑practice guidelines.
RTL DFT DRC & Optimization: Run DFT DRC on RTL blocks, propose fixes, and deliver RTL that meets timing, area, and power targets.
Timing Closure & Sign‑off: Write DFT‑specific timing constraints, work with physical design to close timing in test mode, and sign off test‑mode constraints.
Test Vector Development: Generate ATPG, IJTAG, and MBIST vectors; run RTL and gate‑level simulations to achieve high coverage and verify functional path exercise.
Post‑Silicon Bring‑up: Partner with silicon validation teams to run patterns on silicon, troubleshoot ATE issues, and streamline validation cycles.
Automation & Workflow Improvement: Identify bottlenecks, develop Tcl/Python automation, and integrate new tools to reduce manual effort and boost productivity.
Documentation & Knowledge Transfer: Maintain version‑controlled DFT documentation, create a “DFT playbook,” and lead knowledge‑sharing sessions.
Ideal candidates have/are:
Bachelor's or Master's degree in Electrical Engineering or Computer Engineering.
8+ years of industry experience with Design for Test (DFT) for high-performance ASICs.
Proven hands‑on experience with industry‑leading DFT tools, techniques and methodologies for large SOC/ASIC designs.
Expert in core DFT techniques: ATPG, scan compression, MBIST, IJTAG, IEEE -1500, Logic BIST, test‑pattern translation, and yield learning.
Experience with UDFM’s such as Cell Aware and Small Delay Defect.
Experience in ATPG Streaming SCAN Network (SSN) implementation.
Strong timing‑analysis, constraint sign‑off, and gate‑level simulation skills; adept at debugging DFT patterns on real silicon and ATE.
Strong knowledge of RTL to GDS methodologies and formal equivalence.
Excellent coding skills in Tcl and Python.
Strong interpersonal and organizational skills.
Ability and desire to work effectively as part of a team.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:56pm - 4:56pm CST
LocationHall 6
Groq
Remote
Full Time
Monday, 17 November 2025 4:56pm-4:57pm Hall 6
System Validation Engineer Lead
·
Groq
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionMission:
Test and validate silicon and systems for the most advanced AI accelerator on the market.
Responsibilities & opportunities in this role:
New silicon bring up, create validation plan, & perform system validation on all aspects in a lead role
Validation of HSIO and LSIO IPs
Drive ATE to system correlation efforts during NPI stage
Perform scripting and test data processing to extract meaningful signals
Develop and integrate software test applications for effective product stress and SLT screening.
Collaborate with software teams to evaluate system performance and HW/SW interaction under various conditions.
Enable automation to extract key validation and characterization data collected across PVT
Root cause analysis and RMA processing
Mentor Junior Engineers when the project need arises
Experience in Post Silicon Electrical Validation of server processors (if server processor is too specific, you can remove server)
Ideal candidates have/are:
Proven driver and leader of a full system validation from end to end (silicon out to production start) with attention to detail and a passion for root causing issues
Silicon validation experience, preferably in the area of HSIO, LSIO, Logic and Memory. BE or ME Graduate
Experience in system marginality validation
Good understanding of lab equipment and measurement techniques for high-speed interfaces. High speed scopes, probes, spectrum analyzers, BERTs.
Strong understanding of Electrical Engineering fundamentals
Strong understanding of Firmware and able to debug and create new test cases
Knowledge of board and package design, signal integrity and power integrity a plus
Software proficiency for python test scripting, data handling and reporting
Laboratory experience, including hands-on use of equipment: oscilloscope, logic analyzer, etc.
Excellent problem-solving skills, good communication skills and ability to work cooperatively in a team environment
Debug issues with SOC IP and boards as needed.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Test and validate silicon and systems for the most advanced AI accelerator on the market.
Responsibilities & opportunities in this role:
New silicon bring up, create validation plan, & perform system validation on all aspects in a lead role
Validation of HSIO and LSIO IPs
Drive ATE to system correlation efforts during NPI stage
Perform scripting and test data processing to extract meaningful signals
Develop and integrate software test applications for effective product stress and SLT screening.
Collaborate with software teams to evaluate system performance and HW/SW interaction under various conditions.
Enable automation to extract key validation and characterization data collected across PVT
Root cause analysis and RMA processing
Mentor Junior Engineers when the project need arises
Experience in Post Silicon Electrical Validation of server processors (if server processor is too specific, you can remove server)
Ideal candidates have/are:
Proven driver and leader of a full system validation from end to end (silicon out to production start) with attention to detail and a passion for root causing issues
Silicon validation experience, preferably in the area of HSIO, LSIO, Logic and Memory. BE or ME Graduate
Experience in system marginality validation
Good understanding of lab equipment and measurement techniques for high-speed interfaces. High speed scopes, probes, spectrum analyzers, BERTs.
Strong understanding of Electrical Engineering fundamentals
Strong understanding of Firmware and able to debug and create new test cases
Knowledge of board and package design, signal integrity and power integrity a plus
Software proficiency for python test scripting, data handling and reporting
Laboratory experience, including hands-on use of equipment: oscilloscope, logic analyzer, etc.
Excellent problem-solving skills, good communication skills and ability to work cooperatively in a team environment
Debug issues with SOC IP and boards as needed.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:56pm - 4:57pm CST
LocationHall 6
Groq
In-person
Full Time
Monday, 17 November 2025 4:57pm-4:57pm Hall 6
Systems Quality and Reliability Lead
·
Groq
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionMission:
You will own, build, and manage the RMA and FA debug and root-cause analysis for existing and new Groq AI / ML products. You will conduct tests, FA debug, and root-cause analysis.
Responsibilities & opportunities in this role:
Conduct and lead debug and root-cause analysis of field RMAs. Collaborate with Systems Engineers, Hardware Engineers, Software Engineers and Operations Engineers as required.
Scale Root Cause Failure Analysis capabilities within your organization.
Create Failure Analysis result reports that align with standard 8D or similar processes
Develop and optimize RMA testing strategy to improve timeliness and effectiveness of characterization process
Analyze RMA, Failure Analysis, and Repair data. Identify trends and raise quality alerts when necessary. Drive resolution, containment, and mitigation plans for such quality alerts.
Oversee hardware quality performance, monitoring field quality data and associated metrics including RMA Rates, MTBF, and Reliability Ratio.
Manage operational performance of Failure Analysis at contract manufacturer(s), ensuring partner(s) achieve key performance indicators, including FA cycle times, fault duplication rates, and fault isolation rates.
Drive learning’s from RMA / FA back into Manufacturing, Engineering, and Support teams.
Oversee the set-up of new products into Failure Analysis operations.
Ideal candidates have/are:
BS/MS in Electrical Engineering, Physics or a related degree
7+ years of hands-on systems test and/or validation engineering experience
Proven hands-on management and leadership experience
Competence using lab equipment such as oscilloscopes, logic analyzers, power analyzers, etc.
Deeply cognizant of the differences between System test vs ATE test
Experience with enabling reliability tests such as HTOL and quality tests such as Burn In.
Ideal candidate will have working knowledge of Failure analysis techniques and tools such as FIB, SEM, TDR, VNA, and CSAM
Ideal candidate will also have working knowledge of Fault Isolation techniques such as OBIRCH, DLS/LADA, LVP and LVI
Proficiency with high speed interfaces (Serdes, PCIe, DDR)
Experience testing power sub-sections (e.g. POLs, VRMs, etc.)
Familiarity with lower speed interfaces like SPI, I2C, CAN bus, etc.
Proficiency in Python, Perl, C++, or other languages on UNIX/Linux
Experience in Failure Analysis for one (or more) of the following:
Microprocessors, complex SOC devices, AI Systems, Servers, Network Systems
Excellent knowledge of PCB card and system-level test and debug
Able to manage factory floor partners (CM’s) for RMA / FA activities
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
You will own, build, and manage the RMA and FA debug and root-cause analysis for existing and new Groq AI / ML products. You will conduct tests, FA debug, and root-cause analysis.
Responsibilities & opportunities in this role:
Conduct and lead debug and root-cause analysis of field RMAs. Collaborate with Systems Engineers, Hardware Engineers, Software Engineers and Operations Engineers as required.
Scale Root Cause Failure Analysis capabilities within your organization.
Create Failure Analysis result reports that align with standard 8D or similar processes
Develop and optimize RMA testing strategy to improve timeliness and effectiveness of characterization process
Analyze RMA, Failure Analysis, and Repair data. Identify trends and raise quality alerts when necessary. Drive resolution, containment, and mitigation plans for such quality alerts.
Oversee hardware quality performance, monitoring field quality data and associated metrics including RMA Rates, MTBF, and Reliability Ratio.
Manage operational performance of Failure Analysis at contract manufacturer(s), ensuring partner(s) achieve key performance indicators, including FA cycle times, fault duplication rates, and fault isolation rates.
Drive learning’s from RMA / FA back into Manufacturing, Engineering, and Support teams.
Oversee the set-up of new products into Failure Analysis operations.
Ideal candidates have/are:
BS/MS in Electrical Engineering, Physics or a related degree
7+ years of hands-on systems test and/or validation engineering experience
Proven hands-on management and leadership experience
Competence using lab equipment such as oscilloscopes, logic analyzers, power analyzers, etc.
Deeply cognizant of the differences between System test vs ATE test
Experience with enabling reliability tests such as HTOL and quality tests such as Burn In.
Ideal candidate will have working knowledge of Failure analysis techniques and tools such as FIB, SEM, TDR, VNA, and CSAM
Ideal candidate will also have working knowledge of Fault Isolation techniques such as OBIRCH, DLS/LADA, LVP and LVI
Proficiency with high speed interfaces (Serdes, PCIe, DDR)
Experience testing power sub-sections (e.g. POLs, VRMs, etc.)
Familiarity with lower speed interfaces like SPI, I2C, CAN bus, etc.
Proficiency in Python, Perl, C++, or other languages on UNIX/Linux
Experience in Failure Analysis for one (or more) of the following:
Microprocessors, complex SOC devices, AI Systems, Servers, Network Systems
Excellent knowledge of PCB card and system-level test and debug
Able to manage factory floor partners (CM’s) for RMA / FA activities
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:57pm - 4:57pm CST
LocationHall 6
Groq
In-person
Full Time
Staff Backbone Network Engineer
·
Groq
·
Palo Alto, CA
Hide Details
SessionJob Postings
DescriptionMission:
As a member of the Groq Backbone team, your mission is to scale GroqCloud’s global footprint—delivering a consistent, high-performance experience with maximum availability to users everywhere.
Responsibilities & opportunities in this role:
Backbone Architecture & Design
Global Network Collaboration: Partner with regional network teams to harmonize routing, peering, and policy across all sites. Serve as the primary liaison for external service providers (ISP, dark‑fiber carriers) and coordinate joint troubleshooting.
Transport Optimization & Performance: Monitor link utilization, packet loss, jitter, and latency using telemetry (NetFlow, sFlow, OpenTelemetry).
Network Automation & Configuration Management: Build and maintain GitOps‑driven pipelines (Buildkite, Terraform, Python, Kubernetes) for backbone configuration and lifecycle management.
Ideal candidates have/are:
Backbone Expertise – 7+ years designing, deploying, and operating inter‑DC transport networks (ISIS, MPLS, SR, TE, L3VPN, Anycast, dark fiber, wave and optical platforms).
Routing Proficiency – Deep knowledge of BGP, ISIS, SR, TE; experience with route reflectors, full internet routing tables on global networks, IXs and BGP communities.
Automation & Scripting – Strong background having automated several networks previously, especially with use of Terraform/CDKTF, Python, and vendor APIs for configuration management and automation.
Cloud native application development and delivery - Testing and packaging automation as cloud native RESTful Python applications (FastAPI)
Monitoring & Telemetry – Familiarity with NetFlow, sFlow, Prometheus ecosystem, Grafana, and OpenTelemetry for end‑to‑end visibility.
Security Knowledge – Understanding of IPsec, MACsec, ACLs, and DDoS mitigation in a global network context.
Soft Skills – Excellent analytical, communication, and collaboration abilities; comfortable leading cross‑geo teams and mentoring others.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
As a member of the Groq Backbone team, your mission is to scale GroqCloud’s global footprint—delivering a consistent, high-performance experience with maximum availability to users everywhere.
Responsibilities & opportunities in this role:
Backbone Architecture & Design
Global Network Collaboration: Partner with regional network teams to harmonize routing, peering, and policy across all sites. Serve as the primary liaison for external service providers (ISP, dark‑fiber carriers) and coordinate joint troubleshooting.
Transport Optimization & Performance: Monitor link utilization, packet loss, jitter, and latency using telemetry (NetFlow, sFlow, OpenTelemetry).
Network Automation & Configuration Management: Build and maintain GitOps‑driven pipelines (Buildkite, Terraform, Python, Kubernetes) for backbone configuration and lifecycle management.
Ideal candidates have/are:
Backbone Expertise – 7+ years designing, deploying, and operating inter‑DC transport networks (ISIS, MPLS, SR, TE, L3VPN, Anycast, dark fiber, wave and optical platforms).
Routing Proficiency – Deep knowledge of BGP, ISIS, SR, TE; experience with route reflectors, full internet routing tables on global networks, IXs and BGP communities.
Automation & Scripting – Strong background having automated several networks previously, especially with use of Terraform/CDKTF, Python, and vendor APIs for configuration management and automation.
Cloud native application development and delivery - Testing and packaging automation as cloud native RESTful Python applications (FastAPI)
Monitoring & Telemetry – Familiarity with NetFlow, sFlow, Prometheus ecosystem, Grafana, and OpenTelemetry for end‑to‑end visibility.
Security Knowledge – Understanding of IPsec, MACsec, ACLs, and DDoS mitigation in a global network context.
Soft Skills – Excellent analytical, communication, and collaboration abilities; comfortable leading cross‑geo teams and mentoring others.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:57pm - 4:57pm CST
LocationHall 6
Groq
In-person
Full Time
Staff Datacenter Network Engineer
·
Groq
·
Palo Alto, CA
Hide Details
SessionJob Postings
DescriptionMission:
As a Datacenter Network Engineer at Groq, you will design, build, and deploy Groq’s global datacenter network fabric to meet the highest standards of availability, efficiency, and automation. Your work will ensure a robust, scalable, and future-ready infrastructure that directly supports Groq’s mission to deliver fast, cost-efficient inference services.
Responsibilities & opportunities in this role:
Network Fabric Architecture and Design: Design end‑to‑end network topologies for new and existing data centers, covering IPv4/IPv6, BGP, OSPF, MPLS, and high‑availability fabric. Provide a scalable, fault‑tolerant foundation that keeps inference pipelines running 24/7.
Hardware Deployment & Optimization: Deploy, configure, and tune Cisco, Juniper, and Arista switches, routers, and firewalls at massive scale. Ensure optimal throughput, low jitter, and predictable performance for ML workloads.
Documentation and Bill‑of‑Materials (BOM) Management: Create and maintain accurate BOMs for all fabric components (switches, line cards, transceivers, cables, racks). Validate BOMs against design specifications and update them as hardware revisions or new models are introduced.
Cross functional collaboration: Partner with Data Center Engineering (power, cabling, floor layouts) teams to understand traffic profiles and future scaling needs.
Ideal candidates have/are:
Hardware Proficiency – Hands‑on experience with Cisco Nexus, Juniper QFX, and Arista 7500/7800 series switches, including line‑card and transceiver management.
GPU Clusters – RoCEv2 –
BOM & Procurement Skills – Experience creating and maintaining BOMs, coordinating with procurement, and managing inventory.
Automation & Scripting – Strong background in Ansible, Terraform, Python, and vendor APIs for configuration management.
Monitoring & Telemetry – Familiarity with Prometheus and OpenTelemetry for port‑level visibility.
Soft Skills – Excellent analytical, communication, and collaboration abilities; comfortable mentoring and documenting complex designs.
Bonus – Experience with ML traffic patterns, SD‑WAN, or contributions to open‑source fabric projects.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
As a Datacenter Network Engineer at Groq, you will design, build, and deploy Groq’s global datacenter network fabric to meet the highest standards of availability, efficiency, and automation. Your work will ensure a robust, scalable, and future-ready infrastructure that directly supports Groq’s mission to deliver fast, cost-efficient inference services.
Responsibilities & opportunities in this role:
Network Fabric Architecture and Design: Design end‑to‑end network topologies for new and existing data centers, covering IPv4/IPv6, BGP, OSPF, MPLS, and high‑availability fabric. Provide a scalable, fault‑tolerant foundation that keeps inference pipelines running 24/7.
Hardware Deployment & Optimization: Deploy, configure, and tune Cisco, Juniper, and Arista switches, routers, and firewalls at massive scale. Ensure optimal throughput, low jitter, and predictable performance for ML workloads.
Documentation and Bill‑of‑Materials (BOM) Management: Create and maintain accurate BOMs for all fabric components (switches, line cards, transceivers, cables, racks). Validate BOMs against design specifications and update them as hardware revisions or new models are introduced.
Cross functional collaboration: Partner with Data Center Engineering (power, cabling, floor layouts) teams to understand traffic profiles and future scaling needs.
Ideal candidates have/are:
Hardware Proficiency – Hands‑on experience with Cisco Nexus, Juniper QFX, and Arista 7500/7800 series switches, including line‑card and transceiver management.
GPU Clusters – RoCEv2 –
BOM & Procurement Skills – Experience creating and maintaining BOMs, coordinating with procurement, and managing inventory.
Automation & Scripting – Strong background in Ansible, Terraform, Python, and vendor APIs for configuration management.
Monitoring & Telemetry – Familiarity with Prometheus and OpenTelemetry for port‑level visibility.
Soft Skills – Excellent analytical, communication, and collaboration abilities; comfortable mentoring and documenting complex designs.
Bonus – Experience with ML traffic patterns, SD‑WAN, or contributions to open‑source fabric projects.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:57pm - 4:57pm CST
LocationHall 6
Groq
In-person
Full Time
Monday, 17 November 2025 4:57pm-4:58pm Hall 6
Data Center Technician
·
Groq
·
Slough, UK
Hide Details
SessionJob Postings
DescriptionMission:
Installation, configuration, and maintenance of data center infrastructure, including servers, storage systems, and network devices.
As a Data Center Technician, you will serve as the Directly Responsible Individual (DRI) for daily operations within the data center. You will lead hands-on installation, maintenance, and troubleshooting of compute and network infrastructure critical to Groq’s high-performance AI workloads.
Responsibilities & opportunities in this role:
Hardware Operations:
Receive, unpack, and move servers and other equipment to the data center floor.
Install, cable, and maintain servers, network switches, and power distribution units (PDUs) in racks.
Perform hardware-level bring-up and testing using Linux command-line tools.
Ensure proper accountability for equipment and assets through inventory management.
Troubleshooting & Support:
Troubleshoot and resolve complex technical issues related to rack and node failures.
Run scripts to debug and repair rack cabling and other hardware problems.
Create, update, and resolve tickets in Groq's ticketing system to document all work.
Participate in an on-call rotation to provide 24/7 support for data center operations.
Infrastructure & Collaboration:
Execute final test sign-offs for newly built racks.
Collaborate with other engineering teams to design and implement data center upgrades and expansions.
Develop and maintain technical documentation, including diagrams and procedures, to ensure operational consistency.
Ensure compliance with data center standards, policies, and procedures.
Ideal candidates have/are:
2+ years of experience in data center operations or a related field
Strong knowledge of data center infrastructure, including servers, storage systems, and network devices
Experience with data center management software, such as DCIM or BMS
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Ability to work in a fast-paced environment and prioritize tasks effectively
Strong attention to detail and ability to maintain accurate records
Experience with scripting languages, such as Python or Bash
Familiarity with virtualization technologies, such as Kubernetes
Advanced fiber optic cabling skills
Intermediate Linux skills
Intrinsic curiosity and drive to stay up-to-date with the latest technologies and trends in data center infrastructure and operations
Familiarity with Macbooks, Slack and Google docs
Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience
Ability to travel up to 50% of the time
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Installation, configuration, and maintenance of data center infrastructure, including servers, storage systems, and network devices.
As a Data Center Technician, you will serve as the Directly Responsible Individual (DRI) for daily operations within the data center. You will lead hands-on installation, maintenance, and troubleshooting of compute and network infrastructure critical to Groq’s high-performance AI workloads.
Responsibilities & opportunities in this role:
Hardware Operations:
Receive, unpack, and move servers and other equipment to the data center floor.
Install, cable, and maintain servers, network switches, and power distribution units (PDUs) in racks.
Perform hardware-level bring-up and testing using Linux command-line tools.
Ensure proper accountability for equipment and assets through inventory management.
Troubleshooting & Support:
Troubleshoot and resolve complex technical issues related to rack and node failures.
Run scripts to debug and repair rack cabling and other hardware problems.
Create, update, and resolve tickets in Groq's ticketing system to document all work.
Participate in an on-call rotation to provide 24/7 support for data center operations.
Infrastructure & Collaboration:
Execute final test sign-offs for newly built racks.
Collaborate with other engineering teams to design and implement data center upgrades and expansions.
Develop and maintain technical documentation, including diagrams and procedures, to ensure operational consistency.
Ensure compliance with data center standards, policies, and procedures.
Ideal candidates have/are:
2+ years of experience in data center operations or a related field
Strong knowledge of data center infrastructure, including servers, storage systems, and network devices
Experience with data center management software, such as DCIM or BMS
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Ability to work in a fast-paced environment and prioritize tasks effectively
Strong attention to detail and ability to maintain accurate records
Experience with scripting languages, such as Python or Bash
Familiarity with virtualization technologies, such as Kubernetes
Advanced fiber optic cabling skills
Intermediate Linux skills
Intrinsic curiosity and drive to stay up-to-date with the latest technologies and trends in data center infrastructure and operations
Familiarity with Macbooks, Slack and Google docs
Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience
Ability to travel up to 50% of the time
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:57pm - 4:58pm CST
LocationHall 6
Groq
In-person
Full Time
Monday, 17 November 2025 4:58pm-4:58pm Hall 6
Hardware Lab Test Engineer
·
Groq
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionMission:
You will be responsible for setting up, maintaining, and operating lab equipment used for testing and validating high-performance hardware systems. You will collaborate with design engineers, validation teams, and manufacturing to ensure our products meet the highest quality and reliability standards before release.
Responsibilities & opportunities in this role:
Hardware Testing & Validation
Execute test plans for electronic components, PCB’s and system-level-assemblies.
Perform functional, performance and environmental testing using oscilloscopes, logic analyzers, power supplies and other instrumentation.
Collect and analyze test data to identify root causes of failures or performance deviations.
Technical Support
Support HW design, bring-up and validation activities by preparing workstations, test setups and prototypes.
Assist engineers with hardware builds, soldering, rework, and board-level troubleshooting as needed.
Implement and improve processes for hardware prototype tracking and test documentation.
Lab Operations & Maintenance
Maintain and calibrate test equipment, ensuring the lab remains organized and compliant with safety standards.
Manage hardware inventory, including prototypes, test boards, and lab assets.
Support setup and teardown of test benches, racks, and measurement systems.
Generate detailed test reports and communicate results to cross-functional teams.
Cross-Functional Collaboration
Work closely with hardware design, validation, and manufacturing engineers to improve test coverage and debug hardware issues.
Provide feedback to design teams to enhance product reliability and manufacturability.
Ideal candidates have/are:
Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related technical field.
5+ years of experience in a hardware test, validation, or engineering lab management role.
Strong hands-on experience with lab instrumentation (oscilloscopes, spectrum analyzers, multimeters, etc.).
Solid understanding of electronics fundamentals (digital, analog, and power systems).
Excellent problem-solving and analytical skills.
Preferred:
Familiarity with hardware validation workflows for ASICs, FPGAs, or embedded systems.
Experience working in a production or prototype hardware lab environment.
Knowledge of thermal, mechanical, or environmental testing.
Familiarity with safety and ESD standards in lab environments.
Experience with high-speed digital interfaces (PCIe, DDR, Ethernet, etc.).
Familiarity with data acquisition systems or measurement automation frameworks.
Strong organizational and documentation skills.
Excellent communication and teamwork abilities.
Attention to detail and a proactive attitude toward troubleshooting and process improvement.
Ability to work independently and manage multiple test activities concurrently.
Attributes of a Groqstar:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
You will be responsible for setting up, maintaining, and operating lab equipment used for testing and validating high-performance hardware systems. You will collaborate with design engineers, validation teams, and manufacturing to ensure our products meet the highest quality and reliability standards before release.
Responsibilities & opportunities in this role:
Hardware Testing & Validation
Execute test plans for electronic components, PCB’s and system-level-assemblies.
Perform functional, performance and environmental testing using oscilloscopes, logic analyzers, power supplies and other instrumentation.
Collect and analyze test data to identify root causes of failures or performance deviations.
Technical Support
Support HW design, bring-up and validation activities by preparing workstations, test setups and prototypes.
Assist engineers with hardware builds, soldering, rework, and board-level troubleshooting as needed.
Implement and improve processes for hardware prototype tracking and test documentation.
Lab Operations & Maintenance
Maintain and calibrate test equipment, ensuring the lab remains organized and compliant with safety standards.
Manage hardware inventory, including prototypes, test boards, and lab assets.
Support setup and teardown of test benches, racks, and measurement systems.
Generate detailed test reports and communicate results to cross-functional teams.
Cross-Functional Collaboration
Work closely with hardware design, validation, and manufacturing engineers to improve test coverage and debug hardware issues.
Provide feedback to design teams to enhance product reliability and manufacturability.
Ideal candidates have/are:
Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related technical field.
5+ years of experience in a hardware test, validation, or engineering lab management role.
Strong hands-on experience with lab instrumentation (oscilloscopes, spectrum analyzers, multimeters, etc.).
Solid understanding of electronics fundamentals (digital, analog, and power systems).
Excellent problem-solving and analytical skills.
Preferred:
Familiarity with hardware validation workflows for ASICs, FPGAs, or embedded systems.
Experience working in a production or prototype hardware lab environment.
Knowledge of thermal, mechanical, or environmental testing.
Familiarity with safety and ESD standards in lab environments.
Experience with high-speed digital interfaces (PCIe, DDR, Ethernet, etc.).
Familiarity with data acquisition systems or measurement automation frameworks.
Strong organizational and documentation skills.
Excellent communication and teamwork abilities.
Attention to detail and a proactive attitude toward troubleshooting and process improvement.
Ability to work independently and manage multiple test activities concurrently.
Attributes of a Groqstar:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:58pm - 4:58pm CST
LocationHall 6
Groq
In-person
Full Time
Hardware Engineering Opportunities
·
Groq
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionAbout Groq
Groq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Groq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:58pm - 4:58pm CST
LocationHall 6
Groq
In-person
Full Time
Monday, 17 November 2025 4:58pm-4:59pm Hall 6
Software Engineering Opportunities
·
Groq
·
Remote, USA
Hide Details
SessionJob Postings
DescriptionAbout Groq
Groq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Groq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
Attributes of a Groqster:
Humility - Egos are checked at the door
Collaborative & Team Savvy - We make up the smartest person in the room, together
Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
Curious & Innovative - Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:58pm - 4:59pm CST
LocationHall 6
Groq
Remote
Full Time
Monday, 17 November 2025 4:59pm-4:59pm Hall 6
Machine Learning Engineering Intern, Evals/Post-training
·
Groq
·
Palo Alto, CA
Hide Details
SessionJob Postings
DescriptionMachine Learning Engineering Intern, Evals/Post-training
Winter 2026 (January - April) Internship - full-time
Hybrid (Palo Alto, CA)
Mission:
We’re a small, fast team behind OpenBench (open, reproducible LLM evals). We turn model behavior into measurable progress, then upstream it. You’ll work alongside people, not for people: low ceremony, quick feedback, lots of ownership. You won’t be siloed; you’ll jump across evals, post-training, infra, and (when useful) product/GTM.
Responsibilities & opportunities in this role:
Build and reimplement evals (accuracy, robustness, safety, latency) end-to-end.
Run tight SFT/DPO/RLHF-style loops; track deltas and ship models for customers.
Red-team models; turn quirks into metrics and provide feedback to the inference team
Own scoped projects: design → implement → document → upstream.
Write research papers on evals you build.
Pitch improvements across the company when you see them, then ship.
Ideal candidates have/are:
Founding Engineer (grinder)
You unblock yourself, learn fast, and ship relentlessly - scrappy first, then clean and reproducible.
Signals: productionized side projects, CI’d repos, tools other people actually use.
Researcher (loves data and pushing the frontier)
You reason clearly about eval design, failure modes, and data quality; you run ablations and write tight analyses.
Signals: careful experiments, thoughtful write-ups, PRs to open-source projects.
Must-haves
Agentic, kind, gritty.
Hands-on with evals, post-training, or applied AI (not just theory).
Comfort getting a bit hacky while keeping results reproducible.
Why Join Us
Purposeful Hiring: You’re not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.
Builders Wanted: You’re not just riding the rocket ship, you’re building it. Your work directly shapes the trajectory of our company.
Mission-Driven Work: We’re here to make a real impact. Our mission fuels everything we do.
Tackling Hard Problems: If easy isn’t your thing, you’re in the right place. We solve some of the most complex and exciting challenges in our space.
Excellence Is The Standard: High performance isn’t just encouraged, it’s the baseline. And it’s contagious.
If this sounds like you, we’d love to hear from you!
Winter 2026 (January - April) Internship - full-time
Hybrid (Palo Alto, CA)
Mission:
We’re a small, fast team behind OpenBench (open, reproducible LLM evals). We turn model behavior into measurable progress, then upstream it. You’ll work alongside people, not for people: low ceremony, quick feedback, lots of ownership. You won’t be siloed; you’ll jump across evals, post-training, infra, and (when useful) product/GTM.
Responsibilities & opportunities in this role:
Build and reimplement evals (accuracy, robustness, safety, latency) end-to-end.
Run tight SFT/DPO/RLHF-style loops; track deltas and ship models for customers.
Red-team models; turn quirks into metrics and provide feedback to the inference team
Own scoped projects: design → implement → document → upstream.
Write research papers on evals you build.
Pitch improvements across the company when you see them, then ship.
Ideal candidates have/are:
Founding Engineer (grinder)
You unblock yourself, learn fast, and ship relentlessly - scrappy first, then clean and reproducible.
Signals: productionized side projects, CI’d repos, tools other people actually use.
Researcher (loves data and pushing the frontier)
You reason clearly about eval design, failure modes, and data quality; you run ablations and write tight analyses.
Signals: careful experiments, thoughtful write-ups, PRs to open-source projects.
Must-haves
Agentic, kind, gritty.
Hands-on with evals, post-training, or applied AI (not just theory).
Comfort getting a bit hacky while keeping results reproducible.
Why Join Us
Purposeful Hiring: You’re not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.
Builders Wanted: You’re not just riding the rocket ship, you’re building it. Your work directly shapes the trajectory of our company.
Mission-Driven Work: We’re here to make a real impact. Our mission fuels everything we do.
Tackling Hard Problems: If easy isn’t your thing, you’re in the right place. We solve some of the most complex and exciting challenges in our space.
Excellence Is The Standard: High performance isn’t just encouraged, it’s the baseline. And it’s contagious.
If this sounds like you, we’d love to hear from you!
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:59pm - 4:59pm CST
LocationHall 6
Groq
In-person
Part Time
Silicon Validation Intern
·
Groq
·
Palo Alto, CA
Hide Details
SessionJob Postings
DescriptionSilicon Validation Intern
Winter 2026 (January - April) Internship - full-time - hybrid
Mission:
Leverage industry experience to lay the groundwork for creating a silicon validation and characterization platform with a strong focus on quality to provide the best possible devices to the datacenter and help drive future design improvements.
Responsibilities & opportunities in this role:
Responsible for partnering with senior Silicon validation engineers to help develop an E2E system validation test plan for the SoC including characterization
Collaborate with the SW and HW teams to characterize tests and hardware
Focus on automation of tests for validation and characterization
Ideal candidates have/are:
Courses/lab work in core Electrical Engineering (DSP, VLSI, Circuit design, Microcontrollers,)
Strong fundamentals in Signal Integrity basics and High Speed I/O characteristics
Strong communication skills
Keen interest and experience in programming (Python/C++)
Basic understanding of Electrical Engineering concepts and strong fundamentals in Physics
Basic understanding of LINUX OS and use of commands in LINUX
Must be authorized to work in the United States or Canada
Why Join Us
Purposeful Hiring: You’re not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.
Builders Wanted: You’re not just riding the rocket ship, you’re building it. Your work directly shapes the trajectory of our company.
Mission-Driven Work: We’re here to make a real impact. Our mission fuels everything we do.
Tackling Hard Problems: If easy isn’t your thing, you’re in the right place. We solve some of the most complex and exciting challenges in our space.
Excellence Is The Standard: High performance isn’t just encouraged, it’s the baseline. And it’s contagious.
If this sounds like you, we’d love to hear from you!
Winter 2026 (January - April) Internship - full-time - hybrid
Mission:
Leverage industry experience to lay the groundwork for creating a silicon validation and characterization platform with a strong focus on quality to provide the best possible devices to the datacenter and help drive future design improvements.
Responsibilities & opportunities in this role:
Responsible for partnering with senior Silicon validation engineers to help develop an E2E system validation test plan for the SoC including characterization
Collaborate with the SW and HW teams to characterize tests and hardware
Focus on automation of tests for validation and characterization
Ideal candidates have/are:
Courses/lab work in core Electrical Engineering (DSP, VLSI, Circuit design, Microcontrollers,)
Strong fundamentals in Signal Integrity basics and High Speed I/O characteristics
Strong communication skills
Keen interest and experience in programming (Python/C++)
Basic understanding of Electrical Engineering concepts and strong fundamentals in Physics
Basic understanding of LINUX OS and use of commands in LINUX
Must be authorized to work in the United States or Canada
Why Join Us
Purposeful Hiring: You’re not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.
Builders Wanted: You’re not just riding the rocket ship, you’re building it. Your work directly shapes the trajectory of our company.
Mission-Driven Work: We’re here to make a real impact. Our mission fuels everything we do.
Tackling Hard Problems: If easy isn’t your thing, you’re in the right place. We solve some of the most complex and exciting challenges in our space.
Excellence Is The Standard: High performance isn’t just encouraged, it’s the baseline. And it’s contagious.
If this sounds like you, we’d love to hear from you!
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:59pm - 4:59pm CST
LocationHall 6
Groq
In-person
Full Time
Director of Research Computing - Radiology
·
WashU Medicine
·
St. Louis, MO
Hide Details
SessionJob Postings
Description
Primary Duties & Responsibilities:
Position manages the administration, support, operational, and developmental functions for Research Imaging Division facilities’ specialized computing systems and resources. Coordinates with Senior Director of IT regarding overall Department and University policies and procedures, standards, processes, and projects.
j.kacich@wustl.eduPrimary Duties & Responsibilities:
Design, deploy, configure and operate high performance computing systems.
Design, deploy, configure and operate high performance storage systems.
Design, deploy, configure and operate physical servers and associated virtualization layer.
Oversee selection, employment, development, control and discharge of employees and the establishment of personnel policies and practices in conjunction with the department’s HR leadership.
Develop and manage user support programs, including active helpdesk for these specialized resources, training sessions and written documentation.
Interface with vendors to select, purchase and maintain hardware and software solutions.
Develop and maintain service level agreements and supporting system for monitoring and tracking metrics.
Interface with department, school and university information technology groups to enable integrated operations with network, computing and identify management.
Maintain hardware installations in university data centers.
Develop and maintain comprehensive cybersecurity plan consistent with and meeting or exceeding the minimum standards of the university including threat detection, intrusion monitoring and system/data backups.
Provide reports to advisory board, department leadership and other key stakeholders.
Perform other duties as assigned.
Requirements
Education:
Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
Certifications:
No specific certification is required for this position.
Work Experience:
Management/Supervisory (10 Years)
Skills:
Atlassian, Ceph (Software), Docker (Software), File Management System, File Storage, Git, GitLab, High-Performance Computing (HPC) Systems, Interpersonal Communication, Iptables, Linux Bash, Network File System (NFS), Oracle Grid Engine, Oral Communications, Portable Batch System (PBS), PostgreSQL, Proxy Servers, Puppet (Software), Python (Programming Language), Scripting Languages, Slurm Workload Manager, Virtual Infrastructure, VMware vSphere, Written Communication
Company Description
WashU offers rewarding opportunities in various fields at all levels, with positions in engineering, nursing and health care, research, administration, technology, security and more. We seek people from diverse backgrounds to join us in a supportive environment that encourages boldness, inclusion and creativity.
·
·
Event Type
Job Posting
TimeMonday, 17 November 20254:59pm - 4:59pm CST
LocationHall 6
WashU Medicine
In-person
Full Time